RU2168759C1 - Method and device for estimating carrying frequency - Google Patents

Abstract

FIELD: electronic engineering. SUBSTANCE: method involves dividing components of transformed signal power into items in a series of discrete reference values with following spectral transformation of the reference values obtained. Device has analog-to-digital converter, memory unit, Fourier-transformation unit, Fourier-transformation unit, multiplier, unit for determining power spectrum density and inverse fast Fourier- transformation, unit for determining frequency, control unit and clock pulse bus. EFFECT: enhanced accuracy of estimation. 19 cl, 114 dwg

Description

 The proposed objects of the invention are united by a single inventive concept, relate to radio measurement technology.

 A known method for evaluating the frequency of a signal, see US patent N 4904930, MKI G 01 R 23/16, 02/27/1990. The method consists in preliminary sampling the signal within the search frequency band, calculating the components of the power spectral density at discrete points by the Fourier transform method, extracting the frequency domain ΔF of the power spectral density function with the maximum power concentration, and calculating the carrier frequency in this region.

 The disadvantage of this method is the low accuracy of estimating the signal frequency.

The closest in technical essence to the claimed is the method according to patent RU N 2100812 C1, MKI G 01 R 23/00, 1998. The prototype method consists in preliminary sampling the signal in the limit of the search frequency band, calculating the components of the power spectral density at discrete points by the method Fourier transform, isolating the frequency domain ΔF of the power spectral density function with the maximum signal power concentration, isolating the spectral component with the maximum power amplitude at the frequency f _n = n • Δf, where n = 0, 1, ... - the number of the spectral component, Δf is the frequency distance between the spectral components, calculating the carrier frequency of the signal.

 This method allows you to determine the carrier frequency of the signal by using information about the degree of smoothness of the power spectral density, however, the prototype method has low accuracy, since the solution does not use the entire array of source data. In addition, derivatives of the spectral density of the signal power are used to search for the maximum, the accuracy of determination of which is lower than when calculating the functions.

 A device for estimating the carrier frequency of an analog input signal is known, see patent WO 91/04496, MKI G 01 R 23/00, 04.04.1991. The device includes a serially connected unit for sampling the input signal, a converting device for obtaining spectral components from the sampled signal, a unit for determining the spectral component having the largest spectral power value, and a unit for assigning the frequency of this component to the frequency of the estimated signal.

 The disadvantage of this device is the low accuracy of determining the frequency of the signal.

 Closest to the claimed in its technical essence is a device for estimating the carrier frequency, see patent RU N 2100812 C1, MKI G 01 R 23/00, 1998, FIG. 2.

 The prototype device, taking into account synchronization elements, contains a first memory block, a Fourier transform and power spectral density determination unit, a filter unit, a second memory unit and a frequency determination unit, the groups of control inputs of which are combined with each other and with the control outputs of the control unit, addressable the inputs of which are connected to groups of address inputs of the first and second memory blocks.

 By using the frequency determination unit, the accuracy of the estimation is improved.

 The disadvantage of the prototype device is its low accuracy, since it does not use the entire array of source data and derivatives of the spectral density of signal power are used to find the maximum, the accuracy of which is lower than when calculating functions.

 The aim of the claimed objects of the invention is the development of methods (options) and devices (options) for estimating the carrier frequency of the signal, which provide higher accuracy in estimating the carrier frequency.

(r, n) сигнала в пределах полосы частот поиска с заданной разрешающей способностью Δf_зад по формуле

где r∈[Δf•n,Δf•(n+1)]; r = (n+τ)•Δf,
τ = (Δf_зад/Δf)•d≅1; при M < 0 g(M) = 0;
d = 0, 1, 2, ... , Δf/Δf_зад - целое неотрицательное число;

число сочетаний из p по j;

причем значение несущей частоты f_нес сигнала вычисляют по формуле f_нес = r • Δf_зад, где r = 0, 1, 2, ... - номер спектральной компоненты с максимальной амплитудой мощности сигнала.The goal in the first embodiment of the proposed method is achieved by the fact that in the method of estimating the carrier frequency of the signal, which consists in its preliminary sampling within the search frequency band, calculating the components of its power spectral density S (n), n = 0, 1, 2, .. ., at discrete points by the Fourier transform method with a frequency distance Δf, separation of the spectral component with the maximum amplitude of the signal power and its corresponding number and calculation of the carrier frequency, additionally after calculating the components the spectral power density of the signal S (n) at discrete points with a frequency distance Δf, the spectral power density of the signal is converted by the Fourier transform method. The elements of the converted spectral power density of the signal power are divided into the corresponding elements of the sequence of discrete samples obtained by the Fourier transform of the periodic B-spline of a given degree p-1, p = 2, 3, 4, .... The sequence of discrete samples obtained after division is converted by the inverse Fourier transform method into a sequence of discrete samples g (n) and then the components of the power spectral density are calculated

(r, n) signal within the search frequency band with a given resolution Δf _ass by the formula

where r∈ [Δf • n, Δf • (n + 1)]; r = (n + τ) • Δf,
τ = (Δf _back / Δf) • d≅1; for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

the number of combinations from p to j;

moreover, the value of the carrier frequency f _carried signal is calculated by the formula f _carried = r • Δf _ass , where r = 0, 1, 2, ... is the number of the spectral component with the maximum amplitude of the signal power.

(r, n) сигнала в пределах полосы частот поиска с заданной разрешающей способностью Δf_зад по формуле

где r∈[Δf•n,Δf•(n+1)]; r = (n+τ)•Δf,
τ = (Δf_зад/Δf)•d≅1; при M < 0 g(M) = 0;
d = 0, 1, 2, ..., Δf/Δf_зад - целое неотрицательное число;

число сочетаний из p по j;

причем значение несущей частоты f_нес сигнала вычисляют по формуле f_нес = r • Δf_зад, где r = 0, 1, 2, ... - номер спектральной компоненты с максимальной амплитудой мощности сигнала.The goal in the second embodiment of the proposed method is achieved by the fact that in the method of estimating the carrier frequency of the signal, which consists in its preliminary sampling within the search frequency band, calculating the components of its power spectral density S (n), n = 0, 1, 2, .. ., at discrete points by the Fourier transform method with a frequency distance Δf, separation of the spectral component with the maximum amplitude of the signal power and its corresponding number and calculation of the carrier frequency, additionally after calculating the component nent of the power spectral density S (n) of the signal at discrete points with a frequency distance Δf, the spectral power density of the signal is converted by the Hartley transform method. The sequence of discrete samples obtained by the Hartley transform method is multiplied by the transformation matrix from the Hartley basis to the Fourier basis. The multiplication result is divided elementwise into a sequence of discrete samples obtained by the Fourier transform of a periodic B-spline of a given degree p-1, p = 2, 3, 4, .... Then, the spectral coefficients in the Hartley basis are calculated by multiplying the obtained from dividing the sequence of discrete samples by the transformation matrix from the Fourier basis to the Hartley basis. The obtained spectral coefficients in the Hartley basis are converted by the Hartley transform method into a sequence of discrete samples g (n), and then the components of the power spectral density are calculated

(r, n) signal within the search frequency band with a given resolution Δf _ass by the formula

where r∈ [Δf • n, Δf • (n + 1)]; r = (n + τ) • Δf,
τ = (Δf _back / Δf) • d≅1; for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

the number of combinations from p to j;

moreover, the value of the carrier frequency f _carried signal is calculated by the formula f _carried = r • Δf _ass , where r = 0, 1, 2, ... is the number of the spectral component with the maximum amplitude of the signal power.

(r, n) сигнала в пределах полосы частот поиска с заданной разрешающей способностью Δf_зад по формуле

где r∈[Δf•n,Δf•(n+1)]; r = (n+τ)•Δf;
τ = (Δf_зад/Δf)•d≅1; при M < 0 g(M) = 0;
d = 0, 1, 2, ..., Δf/Δf_зад- целое неотрицательное число;

число сочетаний из p по j;

причем значение несущей частоты f_нес сигнала вычисляют по формуле f_нес = r • Δf_зад, где r = 0, 1, 2, ... - номер спектральной компоненты с максимальной амплитудой мощности сигнала.The goal in the third embodiment of the proposed method is achieved by the fact that in the method of estimating the carrier frequency of the signal, which consists in its preliminary sampling within the search frequency band, calculating the components of its power spectral density S (n), n = 0, 1, 2, .. ., at discrete points with a frequency distance Δf, the selection of the spectral component with the maximum amplitude of the signal power and the corresponding number and the calculation of the carrier frequency, additionally after sampling the signal, it is converted by the method Hartley transform. The resulting sequence is multiplied by the transformation matrix from the Hartley basis to the Fourier basis, after which the components of the power spectral density S (n) of the signal are calculated at discrete points with a frequency distance Δf. Then the components of the spectral density of the signal power are converted by the Fourier transform method. The result of this transformation is divided elementwise into a sequence of discrete samples obtained by the Fourier transform of a periodic B-spline of a given degree p-1, p = 2, 3, 4, .... The sequence of discrete samples after division is converted by the inverse Fourier transform into a sequence of discrete samples g (n) and the components of the power spectral density are calculated

(r, n) signal within the search frequency band with a given resolution Δf _ass by the formula

where r∈ [Δf • n, Δf • (n + 1)]; r = (n + τ) • Δf;
τ = (Δf _back / Δf) • d≅1; for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

the number of combinations from p to j;

moreover, the value of the carrier frequency f _carried signal is calculated by the formula f _carried = r • Δf _ass , where r = 0, 1, 2, ... is the number of the spectral component with the maximum amplitude of the signal power.

(r, n) сигнала в пределах полосы частот поиска с заданной разрешающей способностью Δf_зад по формуле

где r∈[Δf•n,Δf•(n+1)]; r = (n+τ)•Δf;
τ = (Δf_зад/Δf)•d≅1; при M < 0 g(M) = 0;
d = 0, 1, 2, ..., Δf/Δf_зад- целое неотрицательное число;

число сочетаний из p по j;

причем значение несущей частоты f_нес сигнала вычисляют по формуле f_нес = r • Δf_зад, где r = 0, 1, 2, ... - номер спектральной компоненты с максимальной амплитудой мощности сигнала.The goal in the fourth embodiment of the proposed method is achieved by the fact that in the method of estimating the carrier frequency of the signal, which consists in its preliminary sampling within the search frequency band, calculating the components of its power spectral density S (n), n = 0, 1, 2, .. ., at discrete points with a frequency distance Δf, the selection of the spectral component with the maximum amplitude of the signal power and the corresponding number and the calculation of the carrier frequency, additionally after sampling the signal, it is converted by the method om hartley transform. The resulting sequence is multiplied by the transformation matrix from the Hartley basis to the Fourier basis, after which the components of the power spectral density S (n) of the signal are calculated at discrete points with a frequency distance Δf. Then, the power spectral density components of the signal are converted by the Hartley transform method. The result of this Hartley transformation is multiplied by the transformation matrix from the Hartley basis to the Fourier basis. The result of this multiplication is divided elementwise into a sequence of discrete samples obtained by the Fourier transform of a periodic B-spline of a given degree p-1, p = 2, 3, 4, .... Then, the spectral coefficients in the Hartley basis are calculated by multiplying the obtained from dividing the sequence of discrete samples by the transformation matrix from the Fourier basis to the Hartley basis. The obtained spectral coefficients in the Hartley basis are converted by the Hartley method into a sequence of discrete samples g (n), and then the components of the power spectral density are calculated

(r, n) signal within the search frequency band with a given resolution Δf _ass by the formula

where r∈ [Δf • n, Δf • (n + 1)]; r = (n + τ) • Δf;
τ = (Δf _back / Δf) • d≅1; for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

the number of combinations from p to j;

moreover, the value of the carrier frequency f _carried signal is calculated by the formula f _carried = r • Δf _ass , where r = 0, 1, 2, ... is the number of the spectral component with the maximum amplitude of the signal power.

(r, n) сигнала в пределах полосы частот поиска с заданной разрешающей способностью Δf_зад в промежутке от n-1 до n+1 по формуле

где r∈[Δf•n,Δf•(n+1)]; r = (n+τ)•Δf;
τ = (Δf_зад/Δf)•d≅1; при M < 0 g(M) = 0;
d = 0, 1, 2, ..., Δf/Δf_зад- целое неотрицательное число;

- число сочетаний из p по j;

Выделяют номер r (r = 0, 1, 2, ...) спектральной компоненты с максимальной амплитудой мощности сигнала, причем значение несущей частоты f_нес сигнала вычисляют по формуле f_нес = (n-1) • Δf + r • Δf_зад. При этом положение спектральной компоненты с номером r = 0 соответствует положению спектральной компоненты с номером n-1, где 0 < n < N.The goal in the fifth embodiment of the proposed method is achieved by the fact that in the method of estimating the carrier frequency of the signal, which consists in its preliminary sampling within the search frequency band, the calculation of N components of its power spectral density S (n) at discrete points by the Fourier transform, where the number of components power spectral density N = 2 ^l, and l = 1, 2, 3, ..., ΔF frequency domain power spectral density function with the maximum power allocation signal concentration, the spectral allocation com onenty maximum amplitude power signal at frequency f _n = _n • Δf, where n = 0, 1, 2, ... - number of spectral signal components with maximum power amplitude, Δf - frequency spacing between spectral components, and calculating the value of the carrier frequency , in addition, after calculating the components of the power spectral density S (n) of the signal at discrete points, the spectral power density of the signal is converted by the Fourier transform. The converted spectral power density of the signal power is divided elementwise into a sequence of discrete samples obtained by the Fourier transform of a periodic B-spline of a given degree p-1, p = 2, 3, 4, .... The sequence of discrete samples obtained after division is converted by the inverse Fourier transform method into a sequence of discrete samples g (n). The power spectral density components are then calculated.

(r, n) signal within the search frequency band with a given resolution Δf _ass in the interval from n-1 to n + 1 according to the formula

where r∈ [Δf • n, Δf • (n + 1)]; r = (n + τ) • Δf;
τ = (Δf _back / Δf) • d≅1; for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

- the number of combinations from p to j;

Isolate number r (r = 0, 1, 2, ...) spectral components with a maximum amplitude output signal, the carrier frequency value f _carrying signal is calculated according to the formula f _bore = (n-1) • Δf + r • Δf _backside. In this case, the position of the spectral component with the number r = 0 corresponds to the position of the spectral component with the number n-1, where 0 <n <N.

(r, n) сигнала в пределах полосы частот поиска с заданной разрешающей способностью Δf_зад по формуле

где r∈[Δf•n,Δf•(n+1)]; r = (n+τ)•Δf;
τ = (Δf_зад/Δf)•d≅1; при M < 0 g(M) = 0;
d = 0, 1, 2, ..., Δf/Δf_зад - целое неотрицательное число;

число сочетаний из p по j;

причем значение несущей частоты f_нес сигнала вычисляют по формуле f_нес = r • Δf_зад, где r = 0, 1, 2, ... - номер спектральной компоненты с максимальной амплитудой мощности сигнала.The goal in the sixth embodiment of the proposed method is achieved by the fact that in the method of estimating the carrier frequency of the signal, which consists in its preliminary sampling within the search frequency band, calculating the components of its power spectral density S (n), n = 0, 1, 2, .. ., at discrete points with a frequency distance Δf by the Fourier transform method, separation of the spectral component with the maximum amplitude of the signal power and its corresponding number and calculation of the carrier frequency, additionally after calculating the components the spectral power density of the signal S (n) at discrete points with a frequency distance Δf, the spectral power density of the signal is converted by the Hartley transform method. The sequence of discrete samples obtained by the Hartley transform method is divided elementwise into the sequence of discrete samples obtained by the Hartley transform from a periodic B-spline of a given degree p-1, p = 2, 3, 4, .... The sequence obtained after division is converted by the Hartley transform method into a sequence of discrete samples g (n). The power spectral density components are then calculated.

(r, n) signal within the search frequency band with a given resolution Δf _ass by the formula

where r∈ [Δf • n, Δf • (n + 1)]; r = (n + τ) • Δf;
τ = (Δf _back / Δf) • d≅1; for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

the number of combinations from p to j;

moreover, the value of the carrier frequency f _carried signal is calculated by the formula f _carried = r • Δf _ass , where r = 0, 1, 2, ... is the number of the spectral component with the maximum amplitude of the signal power.

(r, n) сигнала в пределах полосы частот поиска с заданной разрешающей способностью Δf_зад по формуле

где r∈[Δf•n,Δf•(n+1)]; r = (n+τ)•Δf;
τ = (Δf_зад/Δf)•d≅1; при M < 0 g(M) = 0;
d = 0, 1, 2, ..., Δf/Δf_зад - целое неотрицательное число;

число сочетаний из p по j;

причем значение несущей частоты f_нес сигнала вычисляют по формуле f_нес = r • Δf_зад, где r = 0, 1, 2, ... - номер спектральной компоненты с максимальной амплитудой мощности сигнала.The goal in the seventh version of the proposed method is achieved by the fact that in the method of estimating the carrier frequency of the signal, which consists in its preliminary sampling within the search frequency band, calculating the components of its power spectral density S (n), n = 0, 1, 2, .. ., at discrete points with a frequency distance Δf, the selection of the spectral component with the maximum amplitude of the signal power and the corresponding number and the calculation of the carrier frequency, additionally after sampling the signal, it is converted by the method Hartley transform, then calculate the components of the spectral power density of the signal power from the Hartley basis. The resulting power spectral density S (n) of the signal is converted by the Hartley transform method. The result of this transformation is elementwise divided by a sequence of discrete samples obtained by the Hartley transform from a periodic B-spline of a given degree p-1, p = 2, 3, 4, .... The sequence of discrete samples after division is converted by the Hartley transform method into a sequence of discrete samples g (n). The power spectral density components are then calculated.

(r, n) signal within the search frequency band with a given resolution Δf _ass by the formula

where r∈ [Δf • n, Δf • (n + 1)]; r = (n + τ) • Δf;
τ = (Δf _back / Δf) • d≅1; for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

the number of combinations from p to j;

moreover, the value of the carrier frequency f _carried signal is calculated by the formula f _carried = r • Δf _ass , where r = 0, 1, 2, ... is the number of the spectral component with the maximum amplitude of the signal power.

(r, n) сигнала в пределах полосы частот поиска с заданной разрешающей способностью Δf_зад по формуле

где r∈[Δf•n,Δf•(n+1)]; r = (n+τ)•Δf;
τ = (Δf_зад/Δf)•d≅1; при M < 0 g(M) = 0;
d = 0, 1, 2, ..., Δf/Δf_зад- целое неотрицательное число;

число сочетаний из p по j;

причем значение несущей частоты f_нес сигнала вычисляют по формуле f_нес = r • Δf_зад, где r = 0, 1, 2, ... - номер спектральной компоненты с максимальной амплитудой мощности сигнала.The goal in the eighth embodiment of the proposed method is achieved by the fact that in the method of estimating the carrier frequency of the signal, which consists in its preliminary sampling within the search frequency band, calculating the components of its power spectral density S (n), n = 0, 1, 2, .. ., at discrete points with a frequency distance Δf, the selection of the spectral component with the maximum amplitude of the signal power and the corresponding number and the calculation of the carrier frequency, additionally after sampling the signal, it is converted by the method Hartley transform. Then, the components of the power spectral density of the signal S (n) are calculated from the Hartley basis, after which the spectral power density of the signal is converted by the Fourier transform method. The elements of the converted spectral power density of the signal power are divided into the corresponding elements of the sequence of discrete samples obtained by the Fourier transform of the periodic B-spline of a given degree p-1, p = 2, 3, 4, .... The sequence of discrete samples obtained after division is converted after division by the inverse Fourier transform into a sequence of discrete samples g (n) and then the components of the power spectral density are calculated

(r, n) signal within the search frequency band with a given resolution Δf _ass by the formula

where r∈ [Δf • n, Δf • (n + 1)]; r = (n + τ) • Δf;
τ = (Δf _back / Δf) • d≅1; for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

the number of combinations from p to j;

moreover, the value of the carrier frequency f _carried signal is calculated by the formula f _carried = r • Δf _ass , where r = 0, 1, 2, ... is the number of the spectral component with the maximum amplitude of the signal power.

(r, n) сигнала в пределах полосы частот поиска с заданной разрешающей способностью Δf_зад в промежутке от n-1 до n+1 по формуле

где r∈[Δf•n,Δf•(n+1)]; r = (n+τ)•Δf;
τ = (Δf_зад/Δf)•d≅1; при M < 0 g(M) = 0;
d = 0, 1, 2, ..., Δf/Δf_зад- целое неотрицательное число;

число сочетаний из p по j;

Выделяют номер r (r = 0, 1, 2, ...) спектральной компоненты с максимальной амплитудой мощности сигнала, причем значение несущей частоты f_нес сигнала вычисляют по формуле f_нес = (n-1) • Δf + r • Δf_зад. При этом положение спектральной компоненты с номером r = 0 соответствует положению спектральной компоненты с номером n-1, где 0 < n < N.The goal in the ninth embodiment of the proposed method is achieved by the fact that in the method of estimating the carrier frequency of the signal, which consists in its preliminary sampling within the search frequency band, the calculation of N components of its power spectral density S (n) at discrete points by the Fourier transform, where the number of components power spectral density N = 2 ^l, and l = 1, 2, 3, ..., ΔF frequency domain power spectral density function with the allocation of a maximum concentration of signal power, spectral allocation for mponenty maximum amplitude power signal at frequency f _n = _n • Δf, where n = 0, 1, 2, ... - number of spectral signal components with maximum power amplitude, Δf - frequency spacing between spectral components, and calculating the value of the carrier frequency , additionally, after calculating the components of the power spectral density S (n) of the signal at discrete points, the power spectral density is converted by the Hartley transform method. The sequence of discrete samples obtained by the Hartley transform method is elementwise divided by the sequence of discrete samples obtained by the Hartley transform of a periodic B-spline of a given degree p-1, p = 2, 3, 4, .... The sequence of discrete samples obtained after division is converted by the Hartley transform method into a sequence of discrete samples g (n). The power spectral density components are then calculated.

(r, n) signal within the search frequency band with a given resolution Δf _ass in the interval from n-1 to n + 1 according to the formula

where r∈ [Δf • n, Δf • (n + 1)]; r = (n + τ) • Δf;
τ = (Δf _back / Δf) • d≅1; for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

the number of combinations from p to j;

Isolate number r (r = 0, 1, 2, ...) spectral components with a maximum amplitude output signal, the carrier frequency value f _carrying signal is calculated according to the formula f _bore = (n-1) • Δf + r • Δf _backside. In this case, the position of the spectral component with the number r = 0 corresponds to the position of the spectral component with the number n-1, where 0 <n <N.

 The specified new set of essential features of the claimed methods (options) allows you to measure the frequency by using the information about the smoothness of the power spectral density embedded in all discrete samples of the power spectral density, which achieves a higher accuracy of the carrier frequency estimation.

 The goal in the first embodiment of the claimed device that implements the first version of the method for estimating the carrier frequency of the signal is achieved by the fact that in the device for estimating the carrier frequency containing an analog-to-digital converter, the first and second memory blocks, the Fourier transform unit and determine the spectral power density, multiplier, a frequency determining unit and a control unit, the first output of which is connected to a resolution input of an analog-to-digital converter, the information input of which is information by the bus of the carrier frequency estimator, the ready output is connected to the fourth input of the control unit, and the group of information outputs is connected to the group of information inputs of the first memory unit, the group of control inputs of which is combined with the groups of control inputs of the Fourier transform unit and determining the spectral power density of the second memory unit , the frequency determination unit and the third group of outputs of the control unit, the second group of outputs of which are connected to the groups of address inputs of the second and first block In memory, the group of information outputs of which is connected to the group of information inputs of the Fourier transform unit and determining the power spectral density, the third, fourth, fifth, and sixth memory blocks, the fast Fourier transform unit, and the inverse fast Fourier transform unit and determining the power spectral density are additionally introduced. The group of information outputs of the Fourier transform unit and determining the spectral power density is connected to the group of information inputs of the second memory block. The group of information outputs of the second memory block is connected to the group of information inputs of the fast Fourier transform block. The group of information outputs of the fast Fourier transform unit is connected to the group of information inputs of the fourth memory block. The group of address inputs of the fourth memory block is combined with the groups of address inputs of the third, fifth and sixth memory blocks, with the second group of outputs of the control unit. The group of information outputs of the fourth memory block is connected to the first group of inputs of the multiplier. The second group of inputs of the multiplier is connected to the group of information outputs of the third memory block. The group of outputs of the multiplier is connected to the group of information inputs of the fifth memory block. The control input group of the fifth memory block is combined with the control input group of the fourth and sixth memory blocks, the inverse fast Fourier transform block and determining the spectral power density, the fast Fourier transform block, and the third group of outputs of the control block. The group of information outputs of the fifth memory block is connected to the group of information inputs of the inverse fast Fourier transform block and determining the spectral power density. The group of information outputs of the inverse fast Fourier transform block and determining the spectral power density is connected to the group of information inputs of the sixth memory block. The group of information outputs of the sixth memory unit is connected to the group of information inputs of the frequency determination unit. The group of outputs of the frequency determination unit is the output bus of the carrier frequency estimator. The clock bus of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter.

 The goal in the second embodiment of the claimed device that implements the second variant of the method of estimating the carrier frequency of the signal is achieved by the fact that in the device for evaluating the carrier frequency containing an analog-to-digital converter, the first and second memory blocks, the Fourier transform unit and determine the spectral power density, the first multiplier , a frequency determination unit and a control unit, the first output of which is connected to a resolution input of an analog-to-digital converter, the information input of which is information by the carrier bus of the carrier frequency estimator, the readiness output is connected to the fourth input of the control unit, and the group of information outputs is connected to the group of information inputs of the first memory unit, the group of control inputs of which is combined with the groups of control inputs of the Fourier transform unit and determining the spectral power density of the second memory unit , the frequency determination unit and the third group of outputs of the control unit, the second group of outputs of which are connected to the groups of address inputs of the second and first memory blocks, the group of information outputs of which are connected to the group of information inputs of the Fourier transform unit and determining the spectral power density, additionally introduced the third, fourth, fifth, sixth, seventh and eighth memory blocks, the second and third multipliers, the Hartley transform block and the Hartley transform block and determining spectral power density. The group of information outputs of the Fourier transform unit and determining the spectral power density is connected to the group of information inputs of the second memory block. The group of information outputs of the second memory block is connected to the group of information inputs of the Hartley transform block. The group of control inputs of the Hartley transform block is combined with the groups of control inputs of the third, fourth, fifth, sixth, seventh and eighth memory blocks, the Hartley transform block and determining the spectral power density, and the third group of outputs of the control block. The group of information outputs of the Hartley transform block is connected to the group of information inputs of the fourth memory block. The address group of inputs of the fourth memory block is connected to the second group of outputs of the control unit, which generates commands for sequentially reading the values recorded in the fourth memory block. The address group of inputs of the latter is combined with groups of address inputs of the third, fifth, sixth, seventh and eighth memory blocks. The group of information outputs of the fourth memory block is connected to the first group of inputs of the first multiplier. The second group of inputs of the first multiplier is connected to the group of information outputs of the third memory block. The group of outputs of the first multiplier is connected to the second group of inputs of the second multiplier. The first group of inputs of the second multiplier is connected to the group of information outputs of the fifth memory block. The group of outputs of the second multiplier is connected to the second group of inputs of the third multiplier. The first group of inputs of the third multiplier is connected to the group of information outputs of the sixth memory block. The group of outputs of the third multiplier is connected to the group of information inputs of the seventh memory block. The group of information outputs of the seventh memory block is connected to the group of information inputs of the Hartley transform block and determining the spectral power density. The group of information outputs of the Hartley transform block and the determination of the power spectral density is connected to the group of information inputs of the eighth memory block. The group of information outputs of the eighth memory unit is connected to the group of information inputs of the frequency determination unit. The group of outputs of the frequency determination unit is the output bus of the carrier frequency estimator. The clock bus of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter.

 The goal in the third embodiment of the claimed device that implements the third version of the method for estimating the carrier frequency of the signal is achieved by the fact that in the device for evaluating the carrier frequency containing an analog-to-digital converter, the first and second memory blocks, the first multiplier, the frequency determination unit and the control unit, the information input of the analog-to-digital converter is the information bus of the carrier frequency estimator, the resolution input of which is connected to the first output of the control unit, four The closed input of which is connected to the ready output of an analog-to-digital converter, the group of information outputs of which is connected to the group of information inputs of the first memory block, the group of control inputs of which is combined with the groups of control inputs of the second memory block and the frequency determination block and the third group of outputs of the control block, and the group address inputs of the first memory unit is combined with a group of address inputs of the second memory unit and the second group of outputs of the control unit, an additional conversion unit is introduced Hartley, third, fourth, fifth, sixth, seventh and eighth memory blocks, a unit for determining the spectral power density and Fourier transform, a second multiplier and a block for the inverse Fourier transform and determining the spectral power density. The group of information outputs of the first memory block is connected to the group of information inputs of the Hartley transform block. The group of control inputs of the Hartley transform unit is combined with the groups of control inputs of the third, fourth, fifth, sixth, seventh and eighth memory blocks, the inverse Fourier transform unit and determining the spectral power density, the unit for determining the spectral power density and Fourier transform, and the third group of outputs of the control unit, the signals of which are used to calculate the components of the power spectral density and the Fourier transform in the unit for determining the power spectral density, etc. Fourier transform. The group of information outputs of the Hartley transform block is connected to the group of information inputs of the second memory block. The group of address inputs of the second memory block is combined with the groups of address inputs of the third, fourth, fifth, sixth, seventh and eighth memory blocks. The group of information outputs of the second memory block is connected to the first group of inputs of the first multiplier. The second group of inputs of the first multiplier is connected to the group of information outputs of the third memory block. The group of outputs of the first multiplier is connected to the group of information inputs of the fourth memory block. The group of information outputs of the fourth memory block is connected to the group of information inputs of the unit for determining the spectral power density and Fourier transform. The group of information outputs of the unit for determining the spectral power density and Fourier transform is connected to the group of information inputs of the sixth memory block. The group of information outputs of the sixth memory unit is connected to the first group of inputs of the second multiplier. The second group of inputs of the second multiplier is connected to the group of information outputs of the fifth memory block. The group of outputs of the second multiplier is connected to the group of information inputs of the seventh memory block. The group of information outputs of the seventh memory block is connected to the group of information inputs of the inverse Fourier transform block and determining the spectral power density. The group of information outputs of the inverse Fourier transform block and determining the spectral power density is connected to the group of information inputs of the eighth memory block. The group of information outputs of the eighth memory unit is connected to the group of information inputs of the frequency determination unit. The group of outputs of the frequency determination unit is the output bus of the carrier frequency estimator. The clock bus of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter.

 The goal in the fourth embodiment of the claimed device that implements the fourth version of the method for estimating the carrier frequency of the signal is achieved by the fact that in the device for estimating the carrier frequency containing an analog-to-digital converter, the first and second memory blocks, the first multiplier, the frequency determination unit and the control unit, the information input of the analog-to-digital converter is the information bus of the carrier frequency estimator, the resolution input of which is connected to the first output of the control unit the fourth input of which is connected to the readiness output of the analog-to-digital converter, the group of information outputs of which is connected to the group of information inputs of the first memory unit, the group of control inputs of which is combined with the groups of control inputs of the second memory unit and the frequency determination unit and the third group of outputs of the control unit, and the group of address inputs of the first memory unit is combined with the group of address inputs of the second memory unit and the second group of outputs of the control unit, a third is additionally introduced, fourth, fifth, sixth, seventh, eighth, ninth and tenth memory blocks, second, third and fourth multipliers, a Hartley transform block, a power spectral density and Hartley transform block and a Hartley transform and power spectral density block. The group of information outputs of the first memory block is connected to the group of information inputs of the Hartley transform block The group of inputs of the control of the Hartley transform block is combined with the groups of control inputs of the third, fourth, fifth, sixth, seventh, eighth, ninth and tenth memory blocks, the group of control inputs of the spectral density determination block power and Hartley transform, by the group of control inputs of the Hartley transform block and determining the spectral power density and the third group of outputs control unit. The group of information outputs of the Hartley transform block is connected to the group of information inputs of the second memory block. The group of information outputs of the second memory block is connected to the first group of inputs of the first multiplier. The second group of inputs of the first multiplier is connected to the group of information outputs of the third memory block. The group of outputs of the first multiplier is connected to the group of information inputs of the fourth memory block. The group of address inputs of the fourth memory block is combined with the groups of address inputs of the third, fifth, sixth, seventh, eighth, ninth and tenth memory blocks. The group of information outputs of the fourth memory block is connected to the group of information inputs of the unit for determining the spectral power density and Hartley transform. The group of information outputs of the unit for determining the spectral density of power and the Hartley transform is connected to the group of information inputs of the sixth memory block. The group of information outputs of the sixth memory unit is connected to the first group of inputs of the second multiplier. The second group of inputs of the second multiplier is connected to the group of information outputs of the fifth memory block. The group of outputs of the second multiplier is connected to the second group of inputs of the third multiplier. The first group of inputs of the third multiplier is connected to the group of information outputs of the seventh memory block. The group of outputs of the third multiplier is connected to the second group of inputs of the fourth multiplier. The first group of inputs of the fourth multiplier is connected to the group of information outputs of the eighth memory block. The group of outputs of the fourth multiplier is connected to the group of information inputs of the ninth memory block. The group of information outputs of the ninth memory block is connected to the group of information inputs of the Hartley transform block and determining the spectral power density. The group of information outputs of the Hartley transform block and the determination of the power spectral density is connected to the group of information inputs of the tenth memory block. The group of information outputs of the tenth memory block is connected to the group of information inputs of the frequency determination unit. The group of information outputs of the frequency determination unit is the output bus of the carrier frequency estimator. The clock bus of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter.

 The goal in the fifth embodiment of the claimed device that implements the fifth version of the method for estimating the carrier frequency of the signal is achieved by the fact that in the device for evaluating the carrier frequency containing an analog-to-digital converter, the first and second memory blocks, the Fourier transform unit and determine the spectral power density, multiplier, a frequency determining unit and a control unit, the first output of which is connected to a resolution input of an analog-to-digital converter, the information input of which is information bus device for estimating the carrier frequency, the ready output is connected to the fourth input of the control unit, and the group of information outputs is connected to the group of information inputs of the first memory unit, the group of control inputs of which is combined with the groups of control inputs of the Fourier transform unit and determining the spectral power density of the second memory unit, frequency determination unit and a third group of outputs of the control unit, the second group of outputs of which are connected to groups of address inputs of the second and first blocks memory, the group of information outputs of which is connected to the group of information inputs of the Fourier transform unit and determining the spectral power density, additionally introduced the third, fourth, fifth and sixth memory blocks, the fast Fourier transform unit and the inverse fast Fourier transform unit and determining the spectral power density. The group of information outputs of the Fourier transform unit and determining the spectral power density is connected to the groups of information inputs of the sixth memory block and the second memory block. The group of information outputs of the second memory block is connected to the group of information inputs of the fast Fourier transform block. The group of control inputs of the fast Fourier transform block is combined with the groups of control inputs of the fourth, fifth and sixth memory blocks, the inverse fast Fourier transform block and determining the spectral power density and the third group of outputs of the control block. The group of information outputs of the fast Fourier transform unit is connected to the group of information inputs of the fourth memory block. The group of address inputs of the fourth memory block is combined with the group of address inputs of the third, fifth and sixth memory blocks. The group of information outputs of the fourth memory block is connected to the second group of inputs of the multiplier. The first group of inputs of the multiplier is connected to the group of information outputs of the third memory block. The group of outputs of the multiplier is connected to the group of information inputs of the fifth memory block. The group of information outputs of the fifth memory block is connected to the group of information inputs of the inverse fast Fourier transform block and determining the spectral power density. The group of information outputs of the inverse fast Fourier transform block and the determination of the power spectral density are bitwise connected to the group of information inputs of the sixth memory block. The group of information outputs of the sixth memory unit is connected to the group of information inputs of the frequency determination unit. The group of outputs of the frequency determination unit is the output bus of the carrier frequency estimator. The clock bus of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter.

 The goal in the sixth embodiment of the claimed device that implements the sixth version of the method for estimating the carrier frequency of the signal is achieved by the fact that in the device for estimating the carrier frequency containing an analog-to-digital converter, the first and second memory blocks, the Fourier transform unit and determine the spectral power density, multiplier, a frequency determining unit and a control unit, the first output of which is connected to a resolution input of an analog-to-digital converter, the information input of which is information by the bus of the carrier frequency estimator, the ready output is connected to the fourth input of the control unit, and the group of information outputs is connected to the group of information inputs of the first memory unit, the group of control inputs of which is combined with the groups of control inputs of the Fourier transform unit and determining the spectral power density of the second memory unit , the frequency determination unit and the third group of outputs of the control unit, the second group of outputs of which are connected to the groups of address inputs of the second and first block In memory, the group of information outputs of which is connected to the group of information inputs of the Fourier transform unit and determining the spectral power density, an additional Hartley transform unit, the third, fourth, fifth and sixth memory units and the Hartley transform unit and determining the spectral power density are additionally introduced. The group of information outputs of the Fourier transform unit and determining the spectral power density is connected to the group of information inputs of the second memory block. The group of control inputs of the second memory unit is combined with the groups of control inputs of the Hartley transform block, the fourth, fifth and sixth memory blocks and the Hartley transform block and determine the power spectral density. The group of information outputs of the second memory block is connected to the group of information inputs of the Hartley transform block. The group of information outputs of the Hartley transform block is connected to the group of information inputs of the fourth memory block. The group of address inputs of the latter is combined with the group of address inputs of the third, fifth and sixth memory blocks and the second group of outputs of the control unit, by the commands of which the values recorded in the third, fourth, fifth and sixth memory blocks are sequentially read. The group of information outputs of the fourth memory block is connected to the second group of inputs of the multiplier. The first group of inputs of the multiplier is connected to the group of information outputs of the third memory block. The group of outputs of the multiplier is connected to the group of information inputs of the fifth memory block. The group of information outputs of the fifth memory block is connected to the group of information inputs of the Hartley transform block and determining the spectral power density. The group of information outputs of the Hartley transform block and the determination of the power spectral density is connected to the group of information inputs of the sixth memory block. The group of information outputs of the sixth memory unit is connected to the group of information inputs of the frequency determination unit. The group of outputs of the frequency determination unit is the output bus of the carrier frequency estimator. The clock bus of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter.

 The goal in the seventh embodiment of the claimed device that implements the seventh version of the method for estimating the carrier frequency of the signal is achieved by the fact that in the device for estimating the carrier frequency containing an analog-to-digital converter, the first and second memory blocks, a multiplier, a frequency determination unit and a control unit, the information the input of the analog-to-digital converter is the information bus of the carrier frequency estimator, the resolution input of which is connected to the first output of the control unit, the fourth the input of which is connected to the readiness output of an analog-to-digital converter, the group of information outputs of which is connected to the group of information inputs of the first memory unit, the group of control inputs of which is combined with the groups of control inputs of the second memory unit and the frequency determination unit and the third group of outputs of the control unit, and the group of address the inputs of the first memory unit is combined with a group of address inputs of the second memory unit and the second group of outputs of the control unit, the first and second blocks are additionally introduced ki Hartley transform and determining the power spectral density of the third, fourth, fifth and sixth memory blocks, determining unit power spectral density, Hartley transformation unit. The group of information outputs of the first memory block is connected to the group of information inputs of the first Hartley transform block and determining the spectral power density. The group of control inputs of the first Hartley transform unit and determining the power spectral density is combined with the groups of control inputs of the Hartley transform unit, the fourth, fifth and sixth memory units, the second Hartley transform unit and determining the spectral power density and the third group of outputs of the control unit. The group of information outputs of the first block of the Hartley transform and determining the spectral density of power is connected to the group of information inputs of the second block of memory. The group of information outputs of the second memory block is connected to the group of information inputs of the Hartley transform block. The group of information outputs of the Hartley transform block is connected to the group of information inputs of the fourth memory block. The group of address addresses of the latter is combined with the groups of address inputs of the third, fifth and sixth memory blocks and the second group of outputs of the control unit, by the commands of which the values recorded in the third, fourth, fifth and sixth memory blocks are sequentially read. The group of information outputs of the fourth memory block is connected to the second group of inputs of the multiplier. The first group of inputs of the multiplier is connected to the group of information outputs of the third memory block. The group of outputs of the multiplier is connected to the group of information inputs of the fifth memory block. The group of information outputs of the fifth memory block is connected to the group of information inputs of the second Hartley transform block and determining the spectral power density. The group of information outputs of the second Hartley transform block and determining the spectral power density is connected to the group of information inputs of the sixth memory block. The group of information outputs of the sixth memory unit is connected to the group of information inputs of the frequency determination unit. The group of outputs of the frequency determination unit is the output bus of the carrier frequency estimator. The clock bus of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter.

 The goal in the eighth embodiment of the claimed device that implements the eighth version of the method for estimating the carrier frequency of the signal is achieved by the fact that in the device for estimating the carrier frequency containing an analog-to-digital converter, the first and second memory blocks, a multiplier, a frequency determination unit and a control unit, the information the input of the analog-to-digital converter is the information bus of the carrier frequency estimator, the resolution input of which is connected to the first output of the control unit, the fourth the input of which is connected to the ready output of an analog-to-digital converter, the group of information outputs of which is connected to the group of information inputs of the first memory block, the group of control inputs of which is combined with the groups of control inputs of the second memory block, the frequency determination unit and the third group of outputs of the control unit, and the group of address the inputs of the first memory unit is combined with a group of address inputs of the second memory unit and the second group of outputs of the control unit, a conversion unit is additionally introduced Hartley and determining a power spectral density, the Fourier transform unit, third, fourth, fifth and sixth memories, and an inverse Fourier transform and determining the power spectral density. The group of information outputs of the first memory block is connected to the group of information inputs of the Hartley transform block and determining the spectral power density. The group of control inputs of the Hartley transform unit and determination of the power spectral density is combined with the groups of control inputs of the Fourier transform unit and the third group of outputs of the control unit, by the commands of which the spectral components of the signal power density are converted in the Fourier transform unit. The group of control inputs of the Fourier transform block is combined with the groups of control inputs of the inverse Fourier transform block and the determination of the power spectral density of the fourth, fifth and sixth memory blocks. The group of information outputs of the Hartley transform block and determining the spectral power density is connected to the group of information inputs of the second memory block. The group of information outputs of the second memory block is connected to the group of information inputs of the Fourier transform block. The group of information outputs of the latter is connected to the group of information inputs of the fourth memory block. The group of address inputs of the latter is combined with the groups of address inputs of the third, fifth and sixth memory blocks and the second group of outputs of the control unit, by the commands of which the values recorded in the third, fourth, fifth and sixth memory blocks are sequentially read. The group of information outputs of the fourth memory block is connected to the second group of inputs of the multiplier. The first group of inputs of the multiplier is connected to the group of information outputs of the third memory block. The group of outputs of the multiplier is connected to the group of information inputs of the fifth memory block. The group of information outputs of the fifth memory block is connected to the group of information inputs of the inverse Fourier transform block and determining the spectral power density. The group of information outputs of the inverse Fourier transform block and determining the spectral power density is connected to the group of information inputs of the sixth memory block. The group of information outputs of the sixth memory unit is connected to the group of information inputs of the frequency determination unit. The group of outputs of the frequency determination unit is the output bus of the carrier frequency estimator. The clock bus of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter.

 The goal in the ninth embodiment of the claimed device that implements the ninth version of the method for estimating the carrier frequency of the signal is achieved by the fact that in the device for evaluating the carrier frequency containing an analog-to-digital converter, the first and second memory blocks, the Fourier transform unit and determine the spectral power density, multiplier, a frequency determining unit and a control unit, the first output of which is connected to a resolution input of an analog-to-digital converter, the information input of which is information bus of the carrier frequency estimator, the readiness output is connected to the fourth input of the control unit, and the group of information outputs is connected to the group of information inputs of the first memory unit, the group of control inputs of which is combined with the groups of control inputs of the Fourier transform unit and determining the spectral power density of the second memory unit , the frequency determination unit and the third group of outputs of the control unit, the second group of outputs of which are connected to the groups of address inputs of the second and first bl the memory shafts, the group of information outputs of which are connected to the group of information inputs of the Fourier transform unit and determining the spectral power density, an additional Hartley transform unit, the third, fourth, fifth and sixth memory blocks and the Hartley transform unit and determining the spectral power density are additionally introduced. The group of information outputs of the Fourier transform block and the determination of the power spectral density is combined with the groups of information inputs of the sixth memory block and the second memory block. The group of information outputs of the second memory block is connected to the group of information inputs of the Hartley transform block. The group of control inputs of the Hartley transform block is combined with the groups of control inputs of the fourth, fifth and sixth memory blocks, the Hartley transform block and determination of the power spectral density, and the third group of outputs of the control block. The group of information outputs of the Hartley transform block is connected to the group of information inputs of the fourth memory block. The group of address inputs of the fourth memory block is combined with the groups of address inputs of the third, fifth and sixth memory blocks and the second group of outputs of the control unit. The group of information outputs of the fourth memory block is connected to the second group of inputs of the multiplier. The first group of inputs of the multiplier is connected to the group of information outputs of the third memory block. The group of outputs of the multiplier is connected to the group of information inputs of the fifth memory block. The group of information outputs of the fifth memory block is connected to the group of information inputs of the Hartley transform block and determining the spectral power density. The group of information outputs of the Hartley transform block and the determination of the power spectral density is bitwise connected to the group of information inputs of the sixth memory block. The group of information outputs of the sixth memory unit is connected to the group of information inputs of the frequency determination unit. The group of outputs of the frequency determination unit is the output bus of the carrier frequency estimator. The clock bus of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter.

 The listed new set of essential features of the claimed devices (options) allows you to measure the frequency by using information about the smoothness of the power spectral density embedded in all discrete samples of the power spectral density, which achieves a higher accuracy of the carrier frequency estimation.

The claimed objects are illustrated by drawings, in which:
in FIG. 1 on 2 sheets shows drawings explaining the essence of the claimed first variant of the method for estimating the carrier frequency of a signal;
in FIG. 2 on 2 sheets shows drawings explaining the essence of the claimed second variant of the method for estimating the carrier frequency of a signal;
in FIG. 3 on 2 sheets shows figures explaining the essence of the claimed third variant of the method for estimating the carrier frequency of a signal;
in FIG. 4 on 2 sheets shows drawings explaining the essence of the claimed fourth variant of the method for estimating the carrier frequency of the signal;
in FIG. 5 on 2 sheets shows drawings explaining the essence of the claimed fifth variant of the method for estimating the carrier frequency of the signal;
in FIG. 6 are figures illustrating the essence of the claimed sixth embodiment of a method for estimating a carrier frequency of a signal;
in FIG. 7 on 2 sheets shows drawings explaining the essence of the claimed seventh version of the method for estimating the carrier frequency of the signal;
in FIG. 8 on 2 sheets shows drawings explaining the essence of the claimed eighth version of the method for estimating the carrier frequency of the signal;
in FIG. 9 on 2 sheets shows drawings explaining the essence of the claimed ninth version of the method for estimating the carrier frequency of a signal;
in FIG. 10 is a general structural diagram of the claimed first embodiment of a carrier frequency estimating apparatus implementing the first embodiment of a method for estimating a signal carrier frequency;
in FIG. 11 shows a general structural diagram of the claimed second embodiment of a carrier frequency estimating apparatus implementing the second embodiment of a method for estimating a carrier frequency of a signal;
in FIG. 12 is a general structural diagram of the claimed third embodiment of a carrier frequency estimating apparatus implementing the third embodiment of a method for estimating a carrier frequency of a signal;
in FIG. 13 is a general structural diagram of the claimed fourth embodiment of a carrier frequency estimating apparatus implementing the fourth embodiment of a method for estimating a signal carrier frequency;
in FIG. 14 is a general structural diagram of the claimed fifth embodiment of a carrier frequency estimating apparatus implementing the fifth embodiment of a method for estimating a signal carrier frequency;
in FIG. 15 is a general structural diagram of the claimed sixth embodiment of a carrier frequency estimating apparatus implementing the sixth embodiment of a method for estimating a carrier frequency of a signal;
in FIG. 16 shows a general structural diagram of the claimed seventh embodiment of a carrier frequency estimating apparatus implementing the seventh embodiment of a method for estimating a carrier frequency of a signal;
in FIG. 17 shows a general structural diagram of the claimed eighth embodiment of a carrier frequency estimating apparatus implementing the eighth embodiment of a method for estimating a carrier frequency of a signal;
in FIG. 18 is a general structural diagram of the claimed ninth embodiment of a carrier frequency estimating apparatus implementing the ninth embodiment of a method for estimating a carrier frequency of a signal;
in FIG. 19 is a structural diagram of a device implementing the blocks highlighted in FIG. 10 with a dashed line.

 The implementation of the claimed method (options) for estimating the carrier frequency of the signal is explained as follows (respectively, Figs. 1, 2, 3, 4, 5, 6, 7, 8, 9).

 It is known (see, for example, analogue: US patent N 4904930, MKI G 01 R 23/16, 02.27.1990) that improving the accuracy of estimating the carrier frequency can be achieved by increasing the array of the input signal. In this case, the resolution will increase (the absolute value of Δf - the frequency distance between the spectral components - will decrease). However, this leads to a complication of implementation and to a decrease in the rate of estimation. Therefore, in the analogue, in order to improve accuracy without noticeable loss of processing speed, it is proposed to increase the accuracy of estimating the carrier frequency by taking into account the information contained in the spectral components of the signal power located next to the spectral component with the maximum amplitude of the signal power. However, the analogue does not take into account information about the degree of smoothness of the spectral density of the signal power, therefore, the estimation accuracy is low.

 In the prototype method, to improve the quality of estimation, a priori information on the degree of smoothness of the signal power spectral density function is used. Using this information, the corresponding local ones (the so-called minimum template splines — SMN) are constructed for the first derivative of the signal power spectral density function and the second derivative of the signal power spectral density function, using the Newton method, the carrier frequency of the signal is refined. However, firstly, this solution does not use all the information consisting in the function of the power spectral density (for the calculation of derivatives, only the discrete points of the power spectral density closest to the specified maximum are used, and the entire array of discrete points of the power spectral density is not used), and, secondly, the accuracy of the calculation of derivatives constructed from discrete points of the spectral power density of the derivatives is lower than the accuracy of the calculation of the functions of the spectral power density of the signal. Therefore, using all samples of the power spectral density to construct a continuous function of the power spectral density from them, one can increase the accuracy of determining the carrier frequency.

 To solve the problem, it is proposed to use interpolation splines. For example, consider a cubic spline.

(см., например, с. 186, формула (2.9)) можно записать в виде

где дискретное преобразование Фурье (ДПФ) от коэффициентов g(n) вычисляется по формуле
F_m(g(n)) = F_m(S(n))/u_m ^p, (11)
где F_m(S(n)) - ДПФ имеющейся спектральной плотности мощности S(n) сигнала z(t_k);

l = [(p+1)/2], γ $\genfrac{}{}{0ex}{}{\text{p}}{\text{0}}$ = 1; (12)
v_m= 2•sin(πm/N); 1/N = Δf; f_m= Δf•n;
Δf - частотное расстояние между компонентами спектральной плотности мощности S(n) сигнала z(t_k).From the article Zheludev V.A. Periodic splines and fast Fourier transform. // Journal of Computational Mathematics and Mathematical Physics, - 1992. - Volume 32. - N 2. - P. 179-198 it is known that the interpolation spline, which is a special case of a smoothing spline, when interpolating the power spectral density functions of the signal

(see, for example, p. 186, formula (2.9)) can be written as

where the discrete Fourier transform (DFT) of the coefficients g (n) is calculated by the formula
F _m (g (n)) = F _m (S (n)) / u _m ^p , (11)
where F _m (S (n)) is the DFT of the available power spectral density S (n) of the signal z (t _k );

l = [(p + 1) / 2], γ $\genfrac{}{}{0ex}{}{\text{p}}{}$$\genfrac{}{}{0ex}{}{}{\text{0}}$ = 1; (12)
v _m = 2 • sin (πm / N); 1 / N = Δf; f _m = Δf • n;
Δf is the frequency distance between the components of the power spectral density S (n) of the signal z (t _k ).

The array of coefficients g (n) is obtained by the inverse transform from F _m (g (n)).

где r∈[Δf•n,Δf•(n+1)];
b^p - B-сплайн степени p-1:

C_j ^p - число сочетаний из p по j:

r = Δf•(n+τ); τ∈[0,1]; τ = Δf_зад•d/Δf;
d = 0, 1, 2, ..., Δf/Δf_зад- целое неотрицательное число.From the articles: Zheludev V.A. Local spline approximation on a uniform grid. // Journal of computational mathematics and mathematical physics, - 1987. - Volume 27. - N 9. - S. 1296-1310; Zheludev V.A. Recovery of functions and their derivatives from grid data with an error using local splines. // Journal of computational mathematics and mathematical physics, - 1987. - Volume 27. - N 1. - P. 22-34 it is known that the expression for calculating the s-th derivative of a spline can be written

where r∈ [Δf • n, Δf • (n + 1)];
b ^p - B-spline of degree p-1:

C _j ^p - the number of combinations from p to j:

r = Δf • (n + τ); τ∈ [0,1]; τ = Δf _ass • d / Δf;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer.

F_m(g(n)) = F_m(S(n))/u_m ⁴, (15)
где u_m ⁴ = 1 - v_m ²/6 (см. статью Желудев В.А. Локальные сглаживающие сплайны с регулирующим параметром. //Журнал вычислительной математики и математической физики, - 1991. - Том 31. - N 2. - С. 200).For s = 0, expression (13) is simplified. In this case, for example, for a cubic spline (p-1 = 3) we have

F _m (g (n)) = F _m (S (n)) / u _m ⁴ , (15)
wherein u _m = 1 ⁴ - v _m ^2/6 (see article Zheludev VA Local smoothing splines with control parameter // Computational Mathematics and mathematical physics, -.., 1991. - Vol 31. - 2. N - C . 200).

[f_n+1, f_n+2] (когда r∈[Δf•(n+1),Δf•(n+2)], r = Δf•(n+1+τ):

Учитывая, что носитель B-сплайна supp b⁴(τ) = (0,4•Δf) и b⁴(τ) симметричен относительно точки Δf•p/2, получим для интервалов
[f_n+2, f_n+3] (когда r∈[Δf•(n+2),Δf•(n+3)], r = Δf•(n+2+τ)):

[f_n+3, f_n+4] (когда r∈[Δf•(n+3), Δf•(n+4)], r = Δf•(n+3+τ):

Тогда

где

ω = e^2πi/N; N - объем массива (количество спектральных компонент). Если в выражении (13) M < 0, то можно принять g(M) = 0.From the articles: Zheludev V.A. Local spline approximation on a uniform grid. // Journal of computational mathematics and mathematical physics, - 1987. - Volume 27. - N 9. - S. 1296-1310; Zheludev V.A. Recovery of functions and their derivatives from grid data with an error using local splines. // Journal of Computational Mathematics and Mathematical Physics, - 1987. - Volume 27. - N 1. - P. 22-34 it is known that the value of the B-spline b ⁴ (r) is nonzero in the segment (0, 4 • Δf) and at various observation intervals is determined as follows:
[f _n , f _{n + 1} ] (when r∈ [Δf • n, Δf • (n + 1)], r = Δf • (n + τ), τ∈ [0,1]):

[f _{n + 1} , f _{n + 2} ] (when r∈ [Δf • (n + 1), Δf • (n + 2)], r = Δf • (n + 1 + τ):

Considering that the support of the B-spline supp b ⁴ (τ) = (0.4 • Δf) and b ⁴ (τ) is symmetric with respect to the point Δf • p / 2, we obtain for the intervals
[f _{n + 2} , f _{n + 3} ] (when r∈ [Δf • (n + 2), Δf • (n + 3)], r = Δf • (n + 2 + τ)):

[f _{n + 3} , f _{n + 4} ] (when r∈ [Δf • (n + 3), Δf • (n + 4)], r = Δf • (n + 3 + τ):

Then

Where

ω = e ^{2πi / N} ; N is the volume of the array (the number of spectral components). If in the expression (13) M <0, then we can take g (M) = 0.

или, учитывая, что работа ведется со спектральной плотностью мощности

Точность прототипа не лучше:

Поэтому, например, для функции S ∈ C⁵ в случае

выигрыш в точности интерполяции может достигать

Аналогичные результаты получаются и для других степеней гладкости функции спектральной плотности мощности.Implementation of (16) and (17) allows us to calculate the functions S ⁴ (r, n) ∈ C ⁵ with an accuracy determined by the error of the interpolation spline (see, for example, Yu.S. Zavyalov, B.I. Kvasov, V.L. Miroshnichenko, Methods of Spline Functions, Moscow: Nauka, 1980, pp. 116, 117):

or, given that the work is carried out with a power spectral density

The accuracy of the prototype is not better:

Therefore, for example, for a function S ∈ C ⁵ in the case

gain in interpolation accuracy can reach

Similar results are obtained for other degrees of smoothness of the power spectral density function.

 Consider the features of the implementation of each of the nine options of the proposed method.

(r, n) (фиг. 1к) находится максимум, и значение несущей частоты определяется по формуле f_нес = r • Δf_зад (фиг. 1л).In FIG. 1 is a graphical explanation of a first embodiment of a method for estimating a carrier frequency. The signal z (t) shown in FIG. 1a is sampled (Fig. 1b), then the components of its power spectral density are calculated by the Fourier transform method S (n) (Fig. 1c). Then, the components of the spectral power of the signal at discrete points are converted by the Fourier transform method to obtain the sequence ω (m) + j • v (m) (Fig. 1d, e). Then, the elements of the transformation of the spectral power density of the signal in accordance with formula (11) are divided by the Fourier transform of the periodic B-spline u _m ^p (Fig. 1e, g, h), and the inverse Fourier transform produces a sequence of discrete samples g (n), represented in FIG. 1i. Substituting successively all the quantities g (n) into formula (16) by changing τ = Δf _ass • d / Δf≅1, d = 0, 1, 2, ..., Δf / Δf _ass (a non-negative integer), we obtain " filling "spectral power density of the signal through the interval Δf _ass . Then in a new array

(r, n) (Fig. 1k) there is a maximum, and the value of the carrier frequency is determined by the formula f _carried = r • Δf _ass (Fig. 1L).

 In FIG. 2 presents diagrams for the second variant of the proposed method. The peculiarity of this option is that here the Hartley transform (Fig. 2d) is performed over the components of the power spectral density S (n) (Fig. 2c) of the signal (Fig. 2a, b), and then the sequence of discrete samples obtained by the Hartley transform method is multiplied by the transformation matrix from the Hartley basis to the Fourier basis and get the sequence ω \ (m) + j • v (m) (Fig. 2e, e), which exactly matches the sequence shown in Fig. 1d, e. That is, the Fourier transform is replaced here with the Hartley transform and the operation of multiplying by the transformation matrix to go from the Hartley basis to the Fourier basis. Since the Hartley transform uses only real numbers (no complex numbers), the replacement of the Fourier transform used here can be performed faster (see Bracewell R. Hartley Transform: Translated from English. - M .: Mir, 1990. - C. 11). For the same purpose of increasing the speed, the operation of the inverse Fourier transform is replaced by multiplication by the matrix of the transformation from the Fourier base to the Hartley basis (Fig. 2i) and the Hartley transform, resulting in the sequence g (n) (Fig. 2l), which completely coincides with shown in FIG. 1i. The remaining steps are similar to the first variant of the method for estimating the carrier frequency (Fig. 2g, s, and, m, n).

The features of the third embodiment of the proposed method can be demonstrated in FIG. 3. The bottom line is that the components of the power spectral density S (n) (Fig. 3e) of the signal z (t _k ) (Fig. 3a, b) are calculated not using the Fourier transform as in the first embodiment of the method, but by means of the Hartley transform (Fig. 3c) with the subsequent transition to the Fourier basis (3d, d). As a result, the computation speed can be increased. The remaining actions are similar to the first variant of the method for estimating the carrier frequency (Fig. 2g, s, and, k, l, m, n, o).

For the fourth embodiment of the proposed method, shown in FIG. 4, the components of the power spectral density S (n) (Fig. 4e) of the signal z (t _k ) (Fig. 4a, b) are determined using the Hartley transform (Fig. 4c) and multiplication by the transformation matrix from the Hartley basis to the Fourier basis ( Fig. 4d, d) as with the third embodiment of the method. The implementation of expression (2) (u _m ^{p is} shown in Fig. 4k) is performed using the Hartley transform over the spectrum (Fig. 4g), multiplication by the transformation matrix to go to the Fourier basis (Fig. 4c, and), dividing by the sequence u _m ^p (Fig. 4l, m). The remaining steps are similar to the second variant of the method for estimating the carrier frequency (Fig. 4n, o, p, p).

(r, n) (фиг. 5л) вычисляются от номера n-1 до n+1, а несущая частота (фиг. 5м) вычисляется по формуле f_нес = (n-1) • Δf + r • Δf_зад, где значения точек n-1 и r = 0 совпадают (фиг. 5л). Действия по нахождению g(n) (фиг. 5д, е, ж, з, и, к) аналогичны действиям по первому варианту способа оценивания несущей частоты.In the fifth embodiment of the proposed method (Fig. 5), the amount of computation is reduced due to the fact that the spectral components with a given resolution ("filling the originally obtained spectral power density) are calculated only near the maximum n. To do this, after calculating the power spectral density S (n) (Fig. 5c) of the signal z (t _k ) (Fig. 5a, b), the number n with the maximum spectral component (Fig. 5d) is stored, and after calculating g (n) (Fig. 5k),

(r, n) (Fig. 5l) are calculated from the number n-1 to n + 1, and the carrier frequency (Fig. 5m) is calculated by the formula f _carried = (n-1) • Δf + r • Δf _ass , where the values points n-1 and r = 0 coincide (Fig. 5l). The steps to find g (n) (Fig. 5e, f, g, h, and, k) are similar to the steps in the first embodiment of the method for estimating the carrier frequency.

The main feature of the sixth variant of the proposed method (Fig. 6) is that the sequence g (n) (Fig. 6f) is found for calculation by formula (16) without using the Fourier transform and without going to the Fourier basis. The sequence g (n) is found completely in the Hartley basis, i.e. discrete Hartley transform (DPC) of the coefficients g (n) is performed by the formula
H _m ^p (g (n)) = H _m (S (n)) / UH _m ^p , (18)
where UH _m ^p - DPH from the periodic B-spline;
H _m (S (n)) is the DPC of the vector S (n).

Finding the sequence UH _m ^p can be achieved as follows.

 1. Choose the degree of spline p-1.

2. We perform the inverse Fourier transform of u _m ^p (the formulas for u _m ^p are given in the article by VA Zheludeva. Local smoothing splines with a regulating parameter. // Journal of Computational Mathematics. - 1991. - Volume 31. - N 2. - C . 200. Here, the quantity u _m ^{p is} denoted as ω $\genfrac{}{}{0ex}{}{\text{m}}{\text{n}}$ .
3. The Hartley transform is performed to obtain UH _m ^p .

It is on this "analog" u _m ^p that the DPC is divided by the spectral power density of the signal.

To obtain the sequence g (n) using expression (11), the convolution S (n) is actually carried out with a periodic B-spline in the Fourier basis. The same thing happens in expression (18), but in the Hartley basis. Naturally, such a path is computationally more economical (it is assumed here that UH _m ^{p are} predefined). The sequence of actions in this embodiment is shown in FIG. 6. The signal z (t) (Fig. 6a) is sampled (Fig. 6b), then the power spectral density S (n) is determined (Fig. 6c). In FIG. 6d shows the Hartley transform of S (n). Operation (18) is illustrated by the diagram in FIG. 6e, obtaining g (n) by the Hartley transform from X (S (n)) / UH _m ^{p is} shown in FIG. 6e, and finding f _carried = r • Δf _ass — in FIG. 6g, s

A seventh embodiment of the proposed method is illustrated in FIG. 7. The peculiarity here is that initially the power spectral density S (n) (Fig. 7d) of the signal z (t _k ) (Fig. 5a, b) is calculated from the Hartley basis without a subsequent transition to the Fourier basis. In FIG. 7c shows the Hartley transform of the signal z (t _k ), and in FIG. 7d shows the spectral power density obtained from the Hartley basis (see Bracewell R. Hartley Transformation: Transl. From English. - M .: Mir, 1990. - P. 24). The transition to the power spectral density is carried out by calculating the square root of the sum of the squares of the spectral Hartley transform coefficients, symmetrical with respect to zero, and dividing by 2 ^1/2 . Then, through the Hartley transform, the sequence g (n) is obtained (Fig. 7e, e, g). Next, the spectral power density with a frequency resolution Δf _ass is calculated (Fig. 7h), the maximum is searched and f _carried = r • Δf _ass (Fig. 7i).

The difference of the eighth variant of the proposed method (Fig. 8) from the seventh is that to calculate the sequence g (n) (Fig. 8k), it is not the Hartley transform that is used, but the Fourier transform. Therefore, the Fourier transform of the power spectral density (Fig. 8d) gives e (m) + j • d (m) (Fig. 8d, f), dividing by u _m ^p (Fig. 8g) according to expression (11) gives the values shown in FIG. 8h, and. Finding the carrier frequency shown in FIG. 8l, m, similarly to the seventh embodiment of the proposed method. Obtaining the Hartley transform A (x _i ) from the signal z (t) is also similar to the seventh version of the method for estimating the carrier frequency (Fig. 8a, b, c).

(r,n) с частотным расстоянием Δf_зад. Среди полученных спектральных компонент находят максимальную и вычисляют по ней значение несущей частоты по формуле f_нес = (n-1) • Δf + r • Δf_зад (фиг. 9з, и).A feature of the ninth embodiment of the proposed method shown in FIG. 9, from the fifth embodiment of the method is that to increase the speed during processing S (n), instead of the actions defined by expression (11), the actions defined by expression (18) are used. The signal z (t) (Fig. 9a) is sampled by z (t _k ) (Fig. 9b), the power spectral density S (n) is determined (Fig. 9c), the number of the spectral component n with the maximum power is found (Fig. 9d), and remember him. Hartley transform is performed over S (n) (Fig. 9e). The obtained sequence of discrete samples X (m) is divided by the Hartley transform from the periodic B-spline of a given degree of smoothness p-1 (Fig. 9f), and the obtained result is converted by the Hartley method to obtain a sequence of discrete samples g (n) (Fig. 9g). From the number n-1 to the number n + 1 find the power spectral density

(r, n) with a frequency distance Δf _ass . Among the obtained spectral components, the maximum is found and the carrier frequency is calculated from it according to the formula f _carried = (n-1) • Δf + r • Δf _ass (Fig. 9h, i).

 A first embodiment of a carrier frequency estimator (implementation of a first embodiment of a method for estimating a carrier frequency of a signal) shown in FIG. 10, consists of an analog-to-digital converter 1, first 2, second 4, third 6, fourth 7, fifth 9 and sixth 11 memory blocks, a Fourier transform unit and determining the power spectral density 3, a fast Fourier transform unit 5, a multiplier 8, a block inverse fast Fourier transform and determine the spectral density of power 10, the frequency determination unit 12 and the control unit 13. The first output of the control unit 13 is connected to the resolution input of the analog-to-digital converter 1. The information input of the analog-to-digital 1 is the forming data line carrier frequency estimating device. The readiness output of the analog-to-digital converter 1 is connected to the fourth input of the control unit 13. The group of information outputs of the analog-to-digital converter 1 is connected to the group of information inputs of the first memory block 2. The group of control inputs of the first memory block 2 is combined with the groups of control inputs of the Fourier transform and determination power spectral density 3, the second memory unit 4, the frequency determination unit 12 and the third group of outputs of the control unit 13. The second group of outputs of the control unit 13 not with groups of address inputs of the second 4 and first 2 memory blocks. The group of information outputs of the first memory unit 2 is connected to the group of information inputs of the Fourier transform unit and determining the power spectral density 3. The group of information outputs of the block of the Fourier transform and determining the spectral power density 3 is connected to the group of information inputs of the second memory unit 4. Group of information outputs of the second memory unit 4 is connected to the group of information inputs of the fast Fourier transform block 5. The group of information outputs of the fast transform F block Level 5 is connected to the group of information inputs of the fourth memory block 7. The group of address inputs of the fourth memory block 7 is combined with the groups of address inputs of the third 6, fifth 9 and sixth 11 memory blocks, with the second group of outputs of the control unit 13. Group of information outputs of the fourth memory block 7 connected to the first group of inputs of the multiplier 8. The second group of inputs of the multiplier 8 is connected to the group of information outputs of the third memory block 6. The group of outputs of the multiplier 8 is connected to the group of information inputs of the fifth block p Name 9. The group of control inputs of the fifth memory block 9 is combined with the groups of control inputs of the fourth 7 and sixth 11 memory blocks, the inverse fast Fourier transform unit and determining the spectral power density 10, the fast Fourier transform unit 5, and the third group of outputs of the control unit 13. Information group the outputs of the fifth memory block 9 is connected to the group of information inputs of the inverse fast Fourier transform unit and determining the spectral power density 10. The group of information outputs of the block the brother fast Fourier transform and determine the spectral density of power 10 is connected to the group of information inputs of the sixth memory unit 11. The group of information outputs of the sixth memory unit 11 is connected to the group of information inputs of the frequency determination unit 12. The group of outputs of the frequency determination unit 12 is the output bus of the carrier frequency estimator . The clock bus 14 of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter 1.

 A second embodiment of a carrier frequency estimator (implementing a second embodiment of a method for estimating a carrier frequency of a signal) shown in FIG. 11, consists of an analog-to-digital converter 1, first 2, second 4, third 6, fourth 7, fifth 9, sixth 11, seventh 13 and eighth 15 memory blocks, a Fourier transform unit and determining the spectral power density 3, Hartley transform block 5 , the first 8, second 10 and third 12 multipliers, a Hartley transform unit and determining the power spectral density 14, a frequency determining unit 16 and a control unit 17. The first output of the control unit 17 is connected to the resolution input of the analog-to-digital converter 1. Information th input analog-to-digital converter 1 is a data line carrier frequency estimating device. The ready output of the analog-to-digital converter 1 is connected to the fourth input of the control unit 17. The group of information outputs of the analog-to-digital converter 1 is connected to the group of information inputs of the first memory unit 2. The group of control inputs of the first memory unit 2 is combined with the groups of control inputs of the Fourier transform and determination power spectral density 3, the second memory unit 4, the frequency determination unit 16 and the third group of outputs of the control unit 17. The second group of outputs of the control unit 17 not with groups of address inputs of the second 4 and first 2 memory blocks. The group of information outputs of the first memory block 2 is connected to the group of information inputs of the Fourier transform unit and determining the spectral power density 3. The group of information outputs of the block of the Fourier transform and determining the spectral power density 3 is connected to the group of information inputs of the second memory unit 2. Group of information outputs of the second memory block 2 is connected to the group of information inputs of the Hartley transform block 5. The group of control inputs of the Hartley transform block 5 is combined with uppp control inputs of the third 6, fourth 7, fifth 9, sixth 11, seventh 13 and eighth 15 memory blocks, the Hartley transform unit and determine the spectral density of power 14 and the third group of outputs of the control unit 17. The group of information outputs of the Hartley transform unit 5 is connected to the group information inputs of the fourth memory block 7. The address group of inputs of the latter is connected to the second group of outputs of the control unit 17, which generates commands for sequentially reading the values recorded in the fourth memory block ti 7, an address input group which is combined with the groups 6 address inputs of the third, fifth, 9, 11 of the sixth, seventh 13 and eighth 15 memory blocks. The group of information outputs of the fourth memory block 7 is connected to the first group of inputs of the first multiplier 8. The second group of inputs of the first multiplier 8 is connected to the group of information outputs of the third block of memory 6. The group of outputs of the first multiplier 8 is connected to the second group of inputs of the second multiplier 10. The first group of inputs of the second the multiplier 10 is connected to the group of information outputs of the fifth memory block 9. The group of outputs of the second multiplier 10 is connected to the second group of inputs of the third multiplier 12. The first group of inputs t its multiplier 12 is connected to the group of information outputs of the sixth memory block 11. The group of outputs of the third multiplier 12 is connected to the group of information inputs of the seventh memory block 13. The group of information outputs of the seventh memory block 13 is connected to the group of information inputs of the Hartley transform unit and determining the power spectral density 14. The group of information outputs of the Hartley transform block and determining the spectral density of power 14 is connected to the group of information inputs of the eighth memory block 15. G Uppal information outputs of the eighth memory block 15 is connected to a group of information inputs frequency determination unit 16. Panel unit 16 outputs the frequency determination is the output bus of the carrier frequency estimating device. The clock bus 18 of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter 1.

 A third embodiment of a carrier frequency estimator (implementation of a third embodiment of a method for estimating a carrier frequency of a signal) shown in FIG. 12, consists of an analog-to-digital converter 1, first 2, second 4, third 5, fourth 7, fifth 9, sixth 10, seventh 12 and eighth 14 memory blocks, Hartley transform block 3, first 6 and second 11 multipliers, determination block power spectral density and Fourier transform 8, inverse Fourier transform unit and determining spectral power density 13, frequency determining unit 15 and control unit 16. The information input of the analog-to-digital converter 1 is the information bus of the evaluation device current frequency. The enable input of the carrier frequency estimator is connected to the first output of the control unit 16. The fourth input of the control unit 16 is connected to the ready output of the analog-to-digital converter 1. The group of information outputs of the analog-to-digital converter 1 is connected to the group of information inputs of the first memory unit 2. Group of control inputs the first memory unit 2 is combined with groups of control inputs of the second memory unit 4 and the frequency determination unit 15 and the third group of outputs of the control unit 16. Address input group in the first memory block 2 is combined with the group of address inputs of the second memory block 4 and the second group of outputs of the control unit 16. The group of information outputs of the first memory block 2 is connected to the group of information inputs of the Hartley transform unit 3. The group of control inputs of the latter is combined with the groups of control inputs of the third 5 , the fourth 7th, fifth 9th, sixth 10th, seventh 12th and eighth 14th memory blocks, inverse Fourier transform unit and determining spectral power density 13, spectral density determining unit power and Fourier transforms 8 and the third group of outputs of the control unit 16, the commands of which calculate the components of the spectral power density and Fourier transform in block 8. The group of information outputs of the Hartley transform 3 is connected to the group of information inputs of the second memory block 4. The group of address inputs of the second the memory block 4 is combined with groups of address inputs of the third 5, fourth 7, fifth 9, sixth 10, seventh 12 and eighth 14 memory blocks. The group of information outputs of the second memory block 4 is connected to the first group of inputs of the first multiplier 6. The second group of inputs of the first multiplier 6 is connected to the group of information outputs of the third memory block 5. The group of outputs of the first multiplier 6 is connected to the group of information inputs of the fourth memory block 7. Group of information outputs the fourth memory block 7 is connected to the group of information inputs of the unit for determining the spectral power density and Fourier transform 8. The group of information outputs of the block is determined The spectral power density and Fourier transform 8 are connected to the group of information inputs of the sixth memory block 10. The group of information outputs of the sixth memory block 10 is connected to the first group of inputs of the second multiplier 11. The second group of inputs of the second multiplier 11 is connected to the group of information outputs of the fifth memory block 9. The group of outputs of the second multiplier 11 is connected to the group of information inputs of the seventh memory unit 12. The group of information outputs of the seventh memory block 12 is connected to the group of information in odes of the inverse Fourier transform block and determining the spectral power density 13. The group of information outputs of the inverse Fourier transform and determining the spectral power density 13 is connected to the group of information inputs of the eighth memory block 14. The group of information outputs of the eighth memory block 14 is connected to the group of information inputs of the frequency determining block 15. The group of outputs of the frequency determination unit 15 is the output bus of the carrier frequency estimator. The clock bus 17 of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter 1.

 A fourth embodiment of a carrier frequency estimator (implementing a fourth embodiment of a method for estimating a carrier frequency of a signal) shown in FIG. 13, consists of an analog-to-digital converter 1, first 2, second 4, third 5, fourth 7, fifth 9, sixth 10, seventh 12, eighth 14, ninth 16 and tenth 18 memory blocks, a Hartley transform block 3, first 6, second 11, third 13 and fourth 15 multipliers, a unit for determining the power spectral density and Hartley transform 8, a Hartley transform and determining a power spectral density 17, a frequency determining unit 19 and a control unit 20. The information input of the analog-to-digital converter 1 is information bus constant carrier frequency estimating device. The resolution input of the carrier frequency estimator is connected to the first output of the control unit 20. The fourth input of the control unit 20 is connected to the ready output of the analog-to-digital converter 1. The group of information outputs of the analog-to-digital converter 1 is connected to the group of information inputs of the first memory unit 2. Group of control inputs the first memory unit 2 is combined with groups of control inputs of the second memory unit 4 and the frequency determination unit 19 and the third group of outputs of the control unit 20. Address input group in the first memory block 2 is combined with a group of address inputs of the second memory block 4 and the second group of outputs of the control unit 20. The group of information outputs of the first memory block 2 is connected to the group of information inputs of the Hartley transform unit 3. The group of control inputs of the Hartley transform 3 unit is combined with groups of inputs control of the third 5, fourth 7, fifth 9, sixth 10, seventh 12, eighth 14, ninth 16 and tenth 18 memory blocks, a group of control inputs of the unit for determining the spectral power density and conversion Hartley 8, the group of inputs of the control unit of the Hartley transform and determine the spectral density of power 17 and the third group of outputs of the control unit 20. The group of information outputs of the Hartley transform 3 is connected to the group of information inputs of the second memory unit 4. The group of information outputs of the second memory unit 4 is connected to the first group of inputs of the first multiplier 6. The second group of inputs of the first multiplier 6 is connected to the group of information outputs of the third memory block 5. The group of outputs of the first multiply La 6 is connected to the group of information inputs of the fourth memory block 7. The group of address inputs of the fourth memory block 7 is combined with the groups of address inputs of the third 5, fifth 9, sixth 10, seventh 12, eighth 14, ninth 16, and tenth 18 memory blocks. The group of information outputs of the fourth memory block 7 is connected to the group of information inputs of the unit for determining the spectral power density and Hartley transform 8. The group of information outputs of the block for determining the spectral power density and Hartley transform 8 is connected to the group of information inputs of the sixth memory block 10. Information output group of the sixth memory block 10 is connected to the first group of inputs of the second multiplier 11. The second group of inputs of the second multiplier 11 is connected to the group of information outputs of the fifth memory block 9. The group of outputs of the second multiplier 11 is connected to the second group of inputs of the third multiplier 13. The first group of inputs of the third multiplier 13 is connected to the group of information outputs of the seventh memory block 12. The group of outputs of the third multiplier 13 is connected to the second group of inputs of the fourth multiplier 15. The first group of inputs of the fourth multiplier 15 is connected to the group of information outputs of the eighth memory unit 14. The group of outputs of the fourth multiplier 7 is connected to the group of information inputs of the ninth block p name 16. The group of information outputs of the ninth memory block 16 is connected to the group of information inputs of the Hartley transform block and determining the spectral power density 17. The group of information outputs of the Hartley transform block and determining the spectral power density 17 is connected to the group of information inputs of the tenth memory block 18. Group of information outputs the tenth memory block 18 is connected to a group of information inputs of the frequency determination unit 19. A group of information outputs of the frequency determination unit 19 is an output line of the carrier frequency estimating device. The clock bus 21 of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter 1.

 A fifth embodiment of a carrier frequency estimator (implementing a fifth embodiment of a method for estimating a carrier frequency of a signal) shown in FIG. 14, consists of an analog-to-digital converter 1, first 2, second 4, third 6, fourth 7, fifth 9 and sixth 11 memory blocks, a Fourier transform unit and determining a power spectral density 3, a fast Fourier transform unit 5, a multiplier 8, an inverse unit fast Fourier transform and determine the spectral density of power 10, the frequency determination unit 12 and the control unit 13. The first output of the control unit 13 is connected to the resolution input of the analog-to-digital converter 1. The information input of the analog-to-digital converter of the developer 1 is the information bus of the carrier frequency estimator. The readiness output of the analog-to-digital converter 1 is connected to the fourth input of the control unit 13. The group of information outputs of the analog-to-digital converter 1 is connected to the group of information inputs of the first memory block 2. The group of control inputs of the first memory block 2 is combined with the groups of control inputs of the Fourier transform and determination power spectral density 3, the second memory unit 4, the frequency determination unit 12 and the third group of outputs of the control unit 13. The second group of outputs of the control unit 13 not with groups of address inputs of the second 4 and first 2 memory blocks. The group of information outputs of the first memory block 2 is connected to the group of information inputs of the Fourier transform unit and determining the spectral density of power 3. The group of information outputs of the block of the Fourier transform and determining the spectral density of power 3 is connected to the groups of information inputs of the sixth memory block 11 and the second memory block 4. Group information outputs of the second memory block 4 is connected to the group of information inputs of the fast Fourier transform unit 5. The group of inputs of the control of the fast block of the first Fourier transform 5 is combined with groups of control inputs of the fourth 7, fifth 9 and sixth 11 memory blocks, an inverse fast Fourier transform unit and determining the spectral density of power 10 and a third group of outputs of the control unit 13. The group of information outputs of the fast Fourier transform 5 is connected to the group information inputs of the fourth memory block 7. The group of address inputs of the fourth memory block 7 is combined with groups of address inputs of the third 6, fifth 9 and sixth 11 memory blocks. The group of information outputs of the fourth memory block 7 is connected to the second group of inputs of the multiplier 8. The first group of inputs of the multiplier 8 is connected to the group of information outputs of the third memory block 6. The group of outputs of the multiplier 8 is connected to the group of information inputs of the fifth memory block 9. Group of information outputs of the fifth memory block 9 is connected to the group of information inputs of the inverse fast Fourier transform block and determining the spectral power density 10. The group of information outputs of the inverse fast block of the Fourier transform and determination of the power spectral density 10 is bitwise connected to the group of information inputs of the sixth memory unit 11. The group of information outputs of the sixth memory unit 11 is connected to the group of information inputs of the frequency determination unit 12. The output group of the frequency determination unit 12 is the output bus of the carrier frequency estimator . The clock bus 14 of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter 1.

 A sixth embodiment of a carrier frequency estimator (implementing a sixth embodiment of a method for estimating a carrier frequency of a signal) shown in FIG. 15, consists of an analog-to-digital converter 1, first 2, second 4, third 6, fourth 7, fifth 9 and sixth 11 memory blocks, a Fourier transform block and determining the power spectral density 3, a Hartley transform block 5, a multiplier 8, a transform block Hartley and determining the spectral density of power 10, the frequency determination unit 12 and the control unit 13. The first output of the control unit 13 is connected to the resolution input of the analog-to-digital converter 1. The information input of the analog-to-digital converter 1 is in the formation bus of the carrier frequency estimator. The readiness output of the analog-to-digital converter 1 is connected to the fourth input of the control unit 13. The group of information outputs of the analog-to-digital converter 1 is connected to the group of information inputs of the first memory block 2. The group of control inputs of the first memory block 2 is combined with the groups of control inputs of the Fourier transform and determination power spectral density 3, the second memory unit 4, the frequency determination unit 12 and the third group of outputs of the control unit 13. The second group of outputs of the control unit 13 nen with groups of address inputs of the second 4 and first 2 memory blocks, the group of information outputs of the first memory block 2 is connected to the group of information inputs of the Fourier transform unit and determining the spectral power density 3. The group of information outputs of the Fourier transform unit and determining the spectral power density 3 is connected to the group information inputs of the second memory block 4. The group of control inputs of the second memory block 4 is combined with the groups of control inputs of the Hartley transform block 5, fourth 7 , the fifth 9th and sixth 11th memory blocks and the Hartley transform block and determining the spectral power density 10. The group of information outputs of the second memory block 4 is connected to the group of information inputs of the Hartley transform block 5. The group of information outputs of the Hartley transform block 5 is connected to the group of information inputs of the fourth block memory 7. The group of address inputs of the latter is combined with a group of address inputs of the third 6, fifth 9 and sixth 11 memory blocks and the second group of outputs of the control unit 13, by command which is performed alternately reading the values stored in the third 6, 7, the fourth, fifth and sixth 9, 11 memory blocks. The group of information outputs of the fourth memory block 7 is connected to the second group of inputs of the multiplier 8. The first group of inputs of the multiplier 8 is connected to the group of information outputs of the third memory block 6. The group of outputs of the multiplier 8 is connected to the group of information inputs of the fifth memory block 9. Group of information outputs of the fifth memory block 9 is connected to the group of information inputs of the Hartley transform block and determining the spectral density of power 10. The group of information outputs of the Hartley transform block and is determined A power spectral density 10 is connected to a group of information inputs of a sixth memory unit 11. A group of information outputs of a sixth memory block 11 is connected to a group of information inputs of a frequency determination unit 12. The group of outputs of the frequency determination unit 12 is an output bus of the carrier frequency estimator. The clock bus 14 of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter 1.

 A seventh embodiment of a carrier frequency estimator (implementing a seventh embodiment of a method for estimating a signal carrier frequency) shown in FIG. 16, consists of an analog-to-digital converter 1, first 2, second 4, third 6, fourth 7, fifth 9 and sixth 11 memory blocks, the first 3 and second 10 Hartley transform blocks and determining the spectral power density, Hartley transform block 5, block determining the spectral density of power, a multiplier 8, a frequency determining unit 12, and a control unit 13. The information input of the analog-to-digital converter 1 is the information bus of the carrier frequency estimator. The resolution input of the carrier frequency estimator is connected to the first output of the control unit 13. The fourth input of the control unit 13 is connected to the ready output of the analog-to-digital converter 1. The group of information outputs of the analog-to-digital converter 1 is connected to the group of information inputs of the first memory unit 2. Group of control inputs the first memory unit 2 is combined with groups of control inputs of the second memory unit 4 and the frequency determination unit 12 and the third group of outputs of the control unit 13. Address input group in the first memory block 2 is combined with the group of address inputs of the second memory block 4 and the second group of outputs of the control unit 13. The group of information outputs of the first memory block 2 is connected to the group of information inputs of the first Hartley transform block and determining the spectral power density 3. Group of control inputs of the first block Hartley transform and determination of power spectral density 3 is combined with groups of control inputs of the Hartley transform block 5, fourth 7, fifth 9 and sixth 11 memory blocks, WTO of the Hartley transform unit and determining the spectral density of power 10 and the third group of outputs of the control unit 13. The group of information outputs of the first Hartley transform and determining the spectral density of power 3 is connected to the group of information inputs of the second memory unit 4. The group of information outputs of the second memory unit 4 is connected to the group of information inputs of the Hartley transform unit 5. The group of information outputs of the Hartley transform unit 5 is connected to the group of information inputs through of the fifth memory block 7. The group of address inputs of the latter is combined with the groups of address inputs of the third 6, fifth 9 and sixth 11 memory blocks and the second group of outputs of the control unit 13, by commands of which the values recorded in the third 6, fourth 7, fifth 9 are read out and the sixth 11 memory blocks. The group of information outputs of the fourth memory block 7 is connected to the second group of inputs of the multiplier 8. The first group of inputs of the multiplier 8 is connected to the group of information outputs of the third memory block 6. The group of outputs of the multiplier 8 is connected to the group of information inputs of the fifth memory block 9. Information output group of the fifth memory block 9 is connected to the group of information inputs of the second Hartley transform unit and determining the spectral density of power 10. The group of information outputs of the second transform unit Xa For measuring and determining the spectral density of power, 10 is connected to the group of information inputs of the sixth memory unit 11. The group of information outputs of the sixth memory unit 11 is connected to the group of information inputs of the frequency determination unit 12. The group of outputs of the frequency determination unit 12 is the output bus of the carrier frequency estimator. The clock bus 14 of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter 1.

 An eighth embodiment of a carrier frequency estimator (implementing an eighth embodiment of a method for estimating a carrier frequency of a signal) shown in FIG. 17, consists of an analog-to-digital converter 1, first 2, second 4, third 6, fourth 7, fifth 9 and sixth 11 memory blocks, a Hartley transform block and determining the power spectral density 3, a Fourier transform block 5, a multiplier 8, an inverse block Fourier transform and determining the spectral density of power 10, the frequency determination unit 12 and the control unit 13. The information input of the analog-to-digital Converter 1 is the information bus of the carrier frequency estimator. The enable input of the carrier frequency estimator is connected to the first output of the control unit 13. The fourth input of the control unit 13 is connected to the ready output of the analog-to-digital converter 1. The group of information outputs of the analog-to-digital converter 1 is connected to the group of information inputs of the first memory block 2. Group of control inputs the first memory unit 2 is combined with groups of control inputs of the second memory unit 4, the frequency determination unit 12 and the third group of outputs of the control unit 13. Address input group the first memory block 2 is combined with the group of address inputs of the second memory block 4 and the second group of outputs of the control unit 13. The group of information outputs of the first memory block 2 is connected to the group of information inputs of the Hartley transform unit and determining the spectral power density 3. The group of control inputs of the latter is combined with groups the control inputs of the Fourier transform unit 5 and the third group of outputs of the control unit, the commands of which in unit 5 transform the spectral components of the power density s drove. The group of control inputs of block 5 is combined with the groups of control inputs of the inverse Fourier transform block and determining the power spectral density of 10, fourth 7, fifth 9 and sixth 11 memory blocks. The group of information outputs of the Hartley transform unit and determining the spectral density of power 3 is connected to the group of information inputs of the second memory unit 4. The group of information outputs of the second memory unit 4 is connected to the group of information inputs of the Fourier transform 5. The group of information outputs of the Fourier transform 5 is connected to the group of information the inputs of the fourth memory block 7. The group of address inputs of the latter is combined with groups of address inputs of the third 6, fifth 9 and sixth 11 memory blocks ti and the second group of outputs of the control unit 13, the commands of which are carried out alternately reading the values recorded in the third 6, fourth 7, fifth 9 and sixth 11 memory blocks. The group of information outputs of the fourth memory block 7 is connected to the second group of inputs of the multiplier 8. The first group of inputs of the multiplier 8 is connected to the group of information outputs of the third memory block 6. The group of outputs of the multiplier 8 is connected to the group of information inputs of the fifth memory block 9. Group of information outputs of the fifth memory block 9 is connected to the group of information inputs of the inverse Fourier transform block and determining the spectral density of power 10. The group of information outputs of the inverse transform block Fourier and determining the power spectral density 10 is connected to a group of information inputs of the sixth memory unit 11. The group of information outputs of the sixth memory block 11 is connected to a group of information inputs frequency determination unit 12. The group determination unit outputs the frequency output line 12 is the carrier frequency estimating device. The clock bus 14 of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter 1.

 A ninth embodiment of a carrier frequency estimator (implementing a ninth embodiment of a method for estimating a carrier frequency of a signal) shown in FIG. 18, consists of an analog-to-digital converter 1, first 2, second 4, third 6, fourth 7, fifth 9 and sixth 11 memory blocks, a Fourier transform unit and determining the power spectral density 3, a Hartley transform block 5, a multiplier 8, a transform block Hartley and determining the spectral density of power 10, the frequency determination unit 12 and the control unit 13. The first output of the control unit 13 is connected to the resolution input of the analog-to-digital converter 1. The information input of the analog-to-digital converter 1 is in the formation bus of the carrier frequency estimator. The readiness output of the analog-to-digital converter 1 is connected to the fourth input of the control unit 13. The group of information outputs of the analog-to-digital converter 1 is connected to the group of information inputs of the first memory block 2. The group of control inputs of the first memory block 2 is combined with the groups of control inputs of the Fourier transform and determination power spectral density 3, the second memory unit 4, the frequency determination unit 12 and the third group of outputs of the control unit 13. The second group of outputs of the control unit 13 not with groups of address inputs of the second 4 and first 2 memory blocks. The group of information outputs of the first memory block 2 is connected to the group of information inputs of the Fourier transform unit and determining the spectral power density 3. The group of information outputs of the Fourier transform unit and determining the spectral power density 3 is combined with the information input groups of the sixth memory block 11 and the second memory block 4. Group information outputs of the second memory unit 4 is connected to the group of information inputs of the Hartley transform unit 5. The group of control inputs of the block is converted Hartley 5 is combined with groups of control inputs of the fourth 7, fifth 9 and sixth 11 memory blocks, the Hartley transform unit and determining the spectral density of power 10 and the third group of outputs of the control unit 13. The group of information outputs of the Hartley transform 5 is connected to the group of information inputs of the fourth block memory 7. The group of address inputs of the fourth memory block 7 is combined with groups of address inputs of the third 6, fifth 9 and sixth 11 memory blocks and the second group of outputs of the control unit 13. Information group The outputs of the fourth memory block 7 are connected to the second group of inputs of the multiplier 8. The first group of inputs of the multiplier 8 is connected to the group of information outputs of the third memory block 6. The group of outputs of the multiplier 8 is connected to the group of information inputs of the fifth memory block 9. Group of information outputs of the fifth memory block 9 connected to the group of information inputs of the Hartley transform block and determining the spectral density of power 10. The group of information outputs of the Hartley transform block and determining the spectrally th power density 10 is bitwise connected to the group of information inputs of the sixth memory unit 11. The group of information outputs of the sixth memory unit 11 is connected to the group of information inputs of the frequency determination unit 12. The group of outputs of the frequency determination unit 12 is an output bus of the carrier frequency estimator. The clock bus 14 of the carrier frequency estimator is connected to the clock input of the analog-to-digital converter 1.

 The claimed first variant of the device for estimating the carrier frequency (Fig. 10), which implements the first variant of the method of estimating the carrier frequency of the signal (Fig. 1), works as follows.

 The analog signal z (t) (Fig. 1a) is fed to the information input of the analog-to-digital converter 1, in which, under the influence of pulses arriving on the clock bus 14, it is converted into a discrete form (see Fig. 1b).

Next, the obtained discrete samples of the signal z (t _k ) are recorded in the first memory block 2. This occurs as follows. As soon as the analog-to-digital converter 1 generates another discrete signal count, a ready signal is received from the fourth input of the control unit 13 from it. Based on this signal, the control unit 13 at the third control and second address outputs generates signals for recording the next sample in the first memory block 2. After that, a signal is generated at the first enable output of the control unit 13, allowing the analog-to-digital converter 1 to receive the next discrete sample.

 After recording all N discrete samples under the influence of control signals generated by the control unit 13, the Fourier transform unit and determining the spectral density 3, the spectral components of the signal power density are found (see Fig. 1c). The latter, under the influence of the signals generated by the control unit 13, are recorded in the second memory unit 4. Next, these spectral components of the signal power density are converted in the Fourier transform unit 5 (see Fig. 1d, e), from the output of which under the influence of the signals generated by the control unit 13, the obtained values are recorded in the fourth memory block 7.

After that, the control unit 13 generates commands for sequentially reading the values recorded in the fourth memory unit 7 and the corresponding values 1 / u _m ^p (see Fig. 1e) stored in the third memory unit 6. These values are simultaneously transmitted to the corresponding inputs multiplier 8, at the output of which the products ω (m) / u _m ^p and v (m) / u _m ^{p are formed} (see Fig. 1g, h), which are alternately under the influence of signals generated by the control unit 13, are written in the fifth block memory 9.

After recording all of these products in the inverse Fourier transform unit and determining the spectral density of power 10, the values read from the fifth memory unit 9 are converted into a sequence of discrete samples g (n) in accordance with expression (11) (see Fig. 1i) and determining the components of the power spectral density (see Fig. 1k), which, under the influence of the signals generated by the control unit 13, are recorded in the sixth memory unit 11. And then, in the frequency determination unit 12, the number r of the component is determined the spectral density of power with maximum amplitude and the calculation of the carrier frequency in accordance with the expression f _nes = r • Δf _ass (see Fig. 1L).

 The second variant of the claimed device (Fig. 11), which implements the second variant of the method of estimating the carrier frequency of the signal (Fig. 2), works as follows.

 The analog signal z (t) (Fig. 2a) is fed to the information input of the analog-to-digital converter 1, in which, under the influence of pulses arriving on the clock bus 18, it is converted into a discrete form (see Fig. 2b).

Further, according to the commands of the control unit 17, the obtained discrete samples of the signal z (t _k ) are recorded in the first memory unit 2. After recording all N discrete samples under the influence of the control signals generated by the control unit 17, the Fourier transform unit and determining the spectral density 3, the spectral density components signal power (see Fig. 2B). The latter, under the influence of the signals generated by the control unit 17, are recorded in the second memory unit 4. Next, these spectral components of the signal power density are converted in the Hartley transform unit 5 (see Fig. 2d), from the output of which under the influence of the signals generated by the control unit 17, the obtained values are recorded in the fourth memory block 7.

After that, the control unit 17 generates commands for sequentially reading the values recorded in the fourth memory block 7 and the corresponding values of the elements of the transformation matrix from the Hartley basis to the Fourier basis stored in the third memory unit 6. These values are simultaneously transmitted to the corresponding inputs of the first multiplier 8 , at the output of which a value of the form ω (m) + j • v (m) is formed (Fig. 2e, e). The latter is fed to the second group of inputs of the second multiplier 10. At the same time, the value of 1 / u _m ^p (see Fig. 2g), read from the fifth memory block 9, is received by the command of the control unit 17 to the first group of its inputs. As a result, the second of the multiplier 10, the products ω (m) / u _m ^p and v (m) / u _m ^{p are formed} (see Fig. 2c, i), which are alternately fed to the second group of inputs of the third multiplier 12, to the first group of inputs of which under the influence of signals formed by the control unit 17, the corresponding values of the elements of the matrix pre ducation of basis in the Fourier basis Hartley stored in the sixth memory unit 11. As a result, at the output of the third multiplier 12 are formed samples X '(y) (Fig. 2k), which commands the control unit 17 are rewritten in the seventh memory block 13.

These steps are repeated for the entire set of values recorded after the Hartley transform to the fourth memory block 7. Then, in the Hartley transform block and the determination of the power spectral density 14, the values read from the seventh memory block 13 are converted into a sequence of discrete samples g (n) (see Fig. 2l) and determination of the components of the power spectral density (see Fig. 2m), which, under the influence of the signals generated by the control unit 17, are recorded in the eighth memory unit 15. And then in the definition block Lenia frequency 16 computes the number r components of the power spectral density with the maximum amplitude value and the calculation of the carrier frequency in accordance with the expression f _carried = r • Δf _backside (see. Fig. 2N).

 The operation of the third embodiment of the carrier frequency estimator (FIG. 12), which implements the third embodiment of the method for estimating the carrier frequency of the signal (FIG. 3), differs from the operation of the first embodiment of the device as follows.

 The analog signal z (t) (Fig. 3a) is fed to the information input of the analog-to-digital converter 1, in which, under the influence of pulses arriving on the clock bus 17, it is converted into a discrete form (see Fig. 3b).

Further, according to the commands of the control unit 16, the obtained discrete samples of the signal z (t _k ) are recorded in the first memory unit 2. After recording all N discrete samples under the influence of the control signals generated by the control unit 16, the Hartley data of the samples in block 3 are converted (see Fig. 3c). The obtained values under the influence of signals generated by the control unit 16 are recorded in the second memory unit 2.

 After that, the control unit 16 generates commands for sequentially reading the values recorded in the second memory unit 4 and the corresponding values of the elements of the transformation matrix from the Hartley basis to the Fourier basis stored in the third memory unit 5. These values are simultaneously transmitted to the corresponding inputs of the first multiplier 6 at the output of which a value of the form B (n) + j • C (n) is generated (Fig. 3d, d). The last command of the control unit 16 is copied to the fourth memory block 7.

 These actions are repeated for the entire set of values read from the second memory block 4.

 Next, in the unit for determining the spectral power density and Fourier transform 8, the components of the spectral power density are calculated (Fig. 3e), over which the Fourier transform is then performed (Fig. 3g, h). The obtained values by the commands of the control unit 16 are recorded in the sixth memory unit 10. Next, the algorithm of the device is similar to the algorithm of the first embodiment of the device for estimating the carrier frequency.

 The work of the fourth variant of the claimed device (Fig. 13), which implements the fourth variant of the method for estimating the carrier frequency of the signal (Fig. 4), differs from the second variant of the device as follows.

 The analog signal z (t) (Fig. 4a) is fed to the information input of the analog-to-digital converter 1, in which, under the influence of pulses arriving on the clock bus 21, it is converted into a discrete form (see Fig. 4b).

Further, by the commands of the control unit 20, the obtained discrete samples of the signal z (t _k ) are recorded in the first memory unit 2. After recording all N discrete samples under the influence of the control signals generated by the control unit 20, the conversion
Hartley data samples in block 3 (see Fig. 4B). The obtained values under the influence of signals generated by the control unit 20 are recorded in the second memory unit 4.

 After that, the control unit 20 generates commands for sequentially reading the values recorded in the second memory unit 4 and the corresponding values of the elements of the transformation matrix from the Hartley basis to the Fourier basis, stored in the third memory unit 5. These values are simultaneously transmitted to the corresponding inputs of the first multiplier 6 at the output of which a value of the form B (n) + j • C (n) is generated (Fig. 4d, e). The last command of the control unit 20 is copied to the fourth memory unit 7.

 These actions are repeated for the entire set of values read from the second memory block 4.

 Next, in the unit for determining the spectral power density and Fourier transform 8, the components of the spectral power density are calculated (Fig. 4f), over which the Fourier transform is then performed (Fig. 4g, h). The obtained values by the commands of the control unit 20 are recorded in the sixth memory unit 10. Further, the algorithm of the device is similar to the algorithm of the second version of the device for estimating the carrier frequency.

 The claimed fifth version of the device for estimating the carrier frequency (Fig. 14), which implements the fifth version of the method for estimating the carrier frequency of the signal (Fig. 5), works as follows.

 The analog signal z (t) (Fig. 5a) is fed to the information input of the analog-to-digital converter 1, in which, under the influence of pulses coming through the clock bus 14, it is converted into a discrete form (see Fig. 5b).

The obtained discrete samples of the signal z (t _k ) by the commands of the control unit 13 are recorded in the first memory block 2. After recording all N discrete samples under the influence of control signals generated by the control unit 13, the Fourier transform unit and determining the power spectral density 3, the spectral density components signal power (see Fig. 5c). Among them, a component with a maximum power amplitude is determined, to which the number n is assigned. The obtained components of the power spectral density under the influence of the signals generated by the control unit 13 are recorded in the second memory unit 4, and the number n of the component with the maximum amplitude of the power spectral density is also recorded in the corresponding cell of the sixth memory unit 11. Next, the components of the power spectral density are converted in the Fourier transform block 5 (see Fig. 5e, e), from the output of which under the influence of signals generated by the control unit 13, the obtained values are recorded in the fourth block ok memory 7.

After that, the control unit 13 generates commands for sequentially reading the values recorded in the fourth memory unit 7 and the corresponding values 1 / u _m ^p (see Fig. 5g) stored in the third memory unit 6. These values are simultaneously transmitted to the corresponding inputs multiplier 8, at the output of which the products ω (m) / u _m ^p and v (m) / u _m ^{p are formed} (see Fig. 5c, i), which are alternately under the influence of signals generated by the control unit 13, are written in the fifth block memory 9.

After writing all of these works in the inverse Fourier transform unit and determining the power spectral density 10, the values read from the fifth memory block 9 are converted into a sequence of discrete samples g (n) (see Fig. 5k) and the components of the power spectral density are determined in the interval from n-1 to n + 1 (see Fig. 5l). The latter, under the influence of the signals generated by the control unit 13, are recorded in the sixth memory unit 11. Then, in the frequency determination unit 12, the number r of the power spectral density component with the maximum amplitude is determined and the carrier frequency value is calculated in accordance with the expression f _carried = (n-1 ) • Δf + r • Δf _ass (see Fig. 5m).

 The sixth embodiment of the claimed device (Fig. 15), which implements the sixth version of the method for estimating the carrier frequency of a signal (Fig. 6), works as follows.

The analog signal z (t) (Fig. 6a) is fed to the information input of the analog-to-digital converter 1, in which, under the influence of pulses arriving on the clock bus 14, it is converted into a discrete form (see Fig. 6b). According to the commands of the control unit 13, the obtained discrete samples of the signal z (t _k ) are recorded in the first memory unit 2.

 After recording all N discrete samples under the influence of control signals generated by the control unit 13, the Fourier transform unit and determining the spectral density 3, the spectral components of the signal power density are found (see Fig. 6c). The latter, under the influence of the signals generated by the control unit 13, are recorded in the second memory unit 4. Next, these spectral components of the signal power density are converted in the Hartley transform unit 5 (see Fig. 6d). From the output of the latter under the influence of signals generated by the control unit 13, the obtained values are recorded in the fourth memory unit 7.

After that, the control unit 13 generates commands for sequentially reading the values recorded in the fourth memory unit 7 and the corresponding values 1 / UH _m ^p (see expression (18)) stored in the third memory unit 6. These values are simultaneously transmitted to the corresponding the inputs of the multiplier 8, the output of which is formed by the product X (S (n)) / UH _m ^p (see Fig. 6e), which are alternately under the influence of the signals generated by the control unit 13, are recorded in the fifth memory unit 9.

After recording all of these works in the Hartley transform block and determining the power spectral density 10, the values read from the fifth memory block 9 are converted into a sequence of discrete samples g (n) (see Fig. 6f) and the components of the power spectral density are determined (see Fig. 6g). Recent signals under the influence generated by the control unit 13 are recorded in the sixth memory unit 11. Further, the frequency determination unit 12 is determined numbers r components of the power spectral density with the maximum amplitude value and the calculation of the carrier frequency in accordance with the expression f _carried = r • Δf _ass (see Fig. 6h).

 The work of the seventh embodiment of the claimed device (Fig. 16) that implements the seventh version of the method for estimating the carrier frequency of the signal (Fig. 7) differs from the work of the sixth embodiment of the device as follows.

The analog signal z (t) (Fig. 7a) is fed to the information input of the analog-to-digital converter 1, in which, under the influence of pulses arriving on the clock bus 14, it is converted into a discrete form (see Fig. 7b). According to the commands of the control unit 13, the obtained discrete samples of the signal z (t _k ) are recorded in the first memory unit 2.

 After recording all N discrete samples under the influence of control signals generated by the control unit 13, the Hartley transform unit, and determining the spectral density 3, the spectral components of the signal power density are found (see Figs. 7c, 7d). The latter under the influence of signals generated by the control unit 13, are recorded in the second memory unit 4.

 Further, the algorithm of the device is similar to the algorithm of the sixth embodiment of the device.

 The work of the eighth embodiment of the claimed device (Fig. 17) that implements the eighth version of the method for estimating the carrier frequency of the signal (Fig. 8) differs from the operation of the first embodiment of the device as follows.

The analog signal z (t) (Fig. 8a) is fed to the information input of the analog-to-digital converter 1, in which, under the influence of pulses arriving on the clock bus 14, it is converted into a discrete form (see Fig. 8b). According to the commands of the control unit 13, the obtained discrete samples of the signal z (t _k ) are recorded in the first memory unit 2.

 After recording all N discrete samples under the influence of control signals generated by the control unit 13, the Hartley transform unit, and determining the spectral density 3, the spectral components of the signal power density are found (see Figs. 8c, d). The latter under the influence of signals generated by the control unit 13, are recorded in the second memory unit 4.

 Further, the algorithm of the device is similar to the algorithm of the first embodiment of the device.

 The claimed ninth version of the device for estimating the carrier frequency (Fig. 18), implementing the ninth version of the method for estimating the carrier frequency of the signal (Fig. 9), works as follows.

 The analog signal z (t) (Fig. 9a) is fed to the information input of the analog-to-digital converter 1, in which, under the influence of pulses arriving on the clock bus 14, it is converted into a discrete form (see Fig. 9b).

The obtained discrete samples of the signal z (t _k ) by the commands of the control unit 13 are recorded in the first memory block 2. After recording all N discrete samples under the influence of the control signals generated by the control unit 13, the Fourier transform unit and determining the spectral density 3, there are spectral components of the power density signal (see Fig. 9c). Among them, a component with a maximum power amplitude is determined, to which the number n is assigned. The values of the obtained components of the power spectral density under the influence of the signals generated by the control unit 13 are recorded in the second memory unit 4, and the number n of the component with the maximum amplitude of the power spectral density is also recorded in the corresponding cell of the sixth memory unit 11.

Next, the values of the components of the power spectral density are converted in the Hartley transform block 5 (see Fig. 9e), from the output of which, under the influence of the signals generated by the control unit 13, the obtained values are recorded in the fourth memory unit 7. After that, the control unit 13 generates alternate commands reading the values stored in the fourth memory unit 7, and the corresponding values of 1 / UH _m ^p, stored in the third memory unit 6. These values are fed simultaneously to the respective inputs of the multiplier 8, to vyho e is formed product X (S (n)) / UH m p ( see. FIG. 9e), which under the influence of the signals generated by the control unit 13 are recorded in the fifth memory unit 9.

After recording all of these works in the Hartley transform block and determining the power spectral density 10, the values read from the fifth memory block 9 are converted into a sequence of discrete samples g (n) (see Fig. 9g) and the power spectral density components are determined in the interval from n-1 to n + 1 (see Fig. 9h), which, under the influence of signals generated by the control unit 13, are recorded in the sixth memory unit 11. Then, in the frequency determination unit 12, the number r of the component is determined with the maximum and calculating a second amplitude value of the carrier frequency in accordance with the expression f _bore = (n-1) • Δf + r • Δf _backside (see. FIG. 9and).

 The principle of operation of the inventive multiplier devices included in the structural diagram is known and described in the book: M.A. Kartsev, V.A. Brick. Computing systems and synchronous arithmetic. - M .: Radio and communications, 1981, - p. 163-221. They can be implemented on SN54284 and SN54285 microcircuits (p. 305, Fig. 6.3.12) or on the ADSP1016 microcircuit (S. Kun. Matrix processors on VLSI: Translated from English - M .: Mir, 1991, - p. 502 , table 7.4).

 The principle of operation of analog-to-digital converters is known and described in the book: V.N. Veniaminov, O.N. Lebedev, A.I. Miroshnichenko. Microcircuits and their application. Reference Guide - 3rd ed. reslave. and add. M .: Radio and communication. - 1989, - p. 180-184. They can be implemented on the K1108PV2 microcircuit (I.V. Novachenko, V.A. Telets. Microcircuits for household equipment. Supplement 2. Reference book. - M.: Radio and communications. 1992, - p. 171).

 The set of blocks 9 ... 13 (Fig. 10) can be implemented on a digital signal processor TMS32010 with additional elements, as shown in Fig. 19, (the inputs and outputs of the device correspond to the inputs and outputs of a group of blocks circled by a dotted line and indicated by the letter B). In this case, the control unit 13 (Fig. 10) is implemented on a digital signal processing processor B1 and elements B2 ... B8. The memory blocks 9 and 11 (Fig. 10) are implemented on a digital signal processor (144 16-bit memory words) and block B9. The frequency determination unit 12 (Fig. 10) is known and can be implemented on a digital signal processor B1. The principle of operation of the TMS32010 is discussed in detail in the book Digital Signal Processing Processes TMS32010 and its application. / Ed. A.A. Lanne. L .: YOU, 1990, - p. 51-102. The processor itself is depicted in the same book in fig. 3.1, - p. 75.

 Counter B3 (Fig. 19) - reversible, 16-bit. The principle of operation is known and described in the book: V.L. Awl. Popular digital circuits. Directory. - M.: Radio and Communications, 1988, - p. 85-93, fig. 1.67, p. 91. Can be implemented on the K155IE7 chip. The connection order of the four counters is described in the same place on p. 92-94. It can be implemented on the K155IE8 chip (p. 94, Fig. 1.69).

 The principle of operation of the memory unit B9 (Fig. 19) is known and described in the book: V.N. Veniaminov, O.N. Lebedev, A.I. Miroshnichenko. Microcircuits and their application. Reference Guide - 3rd ed. reslave. and add. M .: Radio and communications, 1989, - p. 145-148. It can be implemented on the chip IDT7186-70 (Digital signal processor TMS32010 and its application. / Ed. By A.A. Lanne. - L .: YOU, 1990, - p. 50).

 Similarly, the set of blocks 13 ... 17 (Fig. 11), 12 ... 16 (Fig. 12), 16. is implemented. .20 (Fig. 13), 9 ... 13 (Fig. 14), 9 ... 13 (Fig. 15), 9 ... 13 (Fig. 16), 9 ... 13 (Fig. 17 ), 9 ... 13 (Fig. 18).

 The principle of operation of the fast Fourier transform block 5 (Fig. 10), 5 (Fig. 14), 5 (Fig. 17) is known and described in the book by L. Rabiner, B. Gold. Theory and application of digital signal processing. Per. from English - M .: Mir, 1978, p. 394-429. An example of the implementation of the fast Fourier transform on a digital signal processor TMS32010 is given in the book: Digital signal processor TMS32010 and its application. / Ed. A.A. Lanne. - L .: YOU, 1990, - p. 259. On with. 260 of this book provides the calculation of the necessary memory for this. On the same basis, the Fourier transform unit and determining the power spectral density 3 (Fig. 10), 3 (Fig. 11), 3 (Fig. 14), 3 (Fig. 15), 3 (Fig. 18), as well as unit for determining the spectral power density and Fourier transform 8 (Fig. 12).

 The principle of the inverse Fourier transform is known and described in the book of L. Rabiner, B. Gold. Theory and application of digital signal processing. Per. from English - M.: Mir, 1978, p. 394-420, 633-658. The implementation of the inverse Fourier transform on a digital signal processor TMS32010 is given in the book: Digital signal processor TMS32010 and its application. / Ed. A.A. Lanne. - L .: YOU, 1990, - p. 259. On with. 260 of the last book provides the calculation of the necessary memory for this. On this basis, an inverse Fourier transform unit and determining the power spectral density 10 (Fig. 10), 13 (Fig. 12), 10 (Fig. 14), 10 (Fig. 17) can be implemented.

 The principle of Hartley transformation is described in the book Bracewell R. Hartley Transformation: Per. from English - M .: Mir, 1990. The Hartley transform block 5 (Fig. 11), 3 (Fig. 12), 3 (Fig. 13), 5 (Fig. 15), 5 (Fig. 16), 5 (Fig. 18) can be implemented similarly to the Fourier transform unit (see Digital signal processor TMS32010 and its application. / Ed. By A.A. Lanne. - L.: YOU, 1990, - p. 259) with the exception of: a work program for The processor is built as shown on p. 131-162 in Bracewell R. Hartley Transformation: Per. from English - M .: Mir, 1990. On the same basis, the Hartley transform block and determining the power spectral density 14 (Fig. 11), 17 (Fig. 13), 10 (Fig. 15), 3 and 10 (Fig. 16) are implemented , 3 (Fig. 17), 10 (Fig. 18), as well as a unit for determining the spectral power density and Hartley transform 8 (Fig. 13).

 The memory blocks 6 (Fig. 10), 6 (Fig. 14), 6 (Fig. 15), 6 (Fig. 16), 6 (Fig. 17), 6 (Fig. 18) can be implemented on the K155PR6 chip, as indicated in the book of V.L. Awl. Popular digital circuits. Directory. - M .: Radio and communications, 1988, p. 171-174.

 Memory blocks 4 and 7 (Fig. 10), 2, 4, 6, 7, 9, 11 (Fig. 11), 2, 4, 5, 7, 9, 10 (Fig. 12), 2, 4, 5 , 7, 9, 10, 12, 14 (FIG. 13), 2, 4, 7 (FIG. 14), 2, 4, 7 (FIG. 15), 2, 4, 7 (FIG. 16), 2 , 4, 7 (Fig. 17), 2, 4, 7 (Fig. 18) can be implemented on the chip IDT7186-70.

Claims (18)

1. A method for estimating the carrier frequency of a signal, which consists in its preliminary sampling within the search frequency band, calculation of the components of its power spectral density S (n), n = 0, 1, 2, ..., at discrete points by the Fourier transform method with a frequency the distance Δf, the selection of the spectral component with the maximum amplitude of the signal power and the corresponding number and the calculation of the carrier frequency, characterized in that after calculating the components of the spectral power density of the signal S (n) at discrete points with by the frequency distance ΔF, the spectral power density of the signal is converted by the Fourier transform, then the elements of the converted spectral power density of the signal are divided into the corresponding elements of the sequence of discrete samples obtained by the Fourier transform of the periodic B-spline of a given degree p-1, p = 2, 3, 4,. .., and the sequence of discrete samples obtained after division is converted by the inverse Fourier transform into a sequence of discrete samples g (n) and then the components of the power spectral density are calculated

(r, n) of the signal within the search frequency band with a given resolution Δf _ass by the formula

where r ∈ [Δf • n; Δf • (n + 1)];
r = (n + τ) • Δf;
τ = (Δf _ass / Δf) • d ≅ 1,
for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

the number of combinations from p to j;

moreover, the value of the carrier frequency f _carried signal is calculated by the formula f _carried = r • Δf _ass , where r = 0, 1, 2, ... is the number of the spectral component with the maximum amplitude of the signal power. 2. A method for estimating the carrier frequency of a signal, which consists in pre-sampling it within the search frequency band, calculating the components of its power spectral density S (n), n = 0, 1, 2, ..., at discrete points using the Fourier transform with frequency distance Δf, the selection of the spectral component with the maximum amplitude of the signal power and the corresponding number and the calculation of the carrier frequency, characterized in that after calculating the components of the spectral power density S (n) of the signal at discrete points with with the frequency distance Δf, the spectral power density of the signal is converted by the Hartley transform method, then the sequence of discrete samples obtained by the Hartley transform method is multiplied by the transformation matrix from the Hartley basis to the Fourier basis, after which the multiplication result is elementwise divided by the sequence of discrete samples obtained by the Fourier transform from the periodic B-spline of a given degree p-1, p = 2, 3, 4, ..., then the spectral coefficients in the Hartley basis are calculated by multiplying the dividing the sequence of discrete samples onto the transformation matrix from the Fourier basis to the Hartley basis, after which the obtained spectral coefficients in the Hartley basis are transformed using the Hartley transformation method into a sequence of discrete samples g (n), and then the power spectral density components are calculated

(r, n) signal within the search frequency band with a given resolution Δf _ass by the formula

where r ∈ [Δf • n; Δf • (n + 1)];
r = (n + τ) • Δf;
τ = (Δf _ass / Δf) • d ≅ 1,
for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

the number of combinations from p to j;

moreover, the value of the carrier frequency f _carried signal is calculated by the formula f _carried = r • Δf _ass , where r = 0, 1, 2, ... is the number of the spectral component with the maximum amplitude of the signal power. 3. A method for estimating the carrier frequency of a signal, which consists in pre-sampling it within the search frequency band, calculating the components of its power spectral density S (n), n = 0, 1, 2, ..., at discrete points with a frequency distance Δf, separation of the spectral component with a maximum amplitude of the signal power and its corresponding number and calculation of the carrier frequency, characterized in that after sampling the signal it is converted by the Hartley transform, then the resulting sequence is multiplied by the transformation matrix from the Hartley basis to the Fourier basis, after which the components of the power spectral density S (n) of the signal are calculated at discrete points with a frequency distance Δf, then the components of the power spectral density of the signal are converted by the Fourier transform method, the result of this transformation is divided elementwise into a sequence of discrete samples, obtained by the Fourier transform of a periodic B-spline of a given degree p-1, p = 2, 3, 4, ..., a sequence of discrete samples after division transform the method inverse Fourier transform into a sequence of discrete samples g (n) is calculated and the components of the power spectral density

(r, n) signal within the search frequency band with a given resolution Δf _ass by the formula

where r ∈ [Δf • n; Δf • (n + 1)];
r = (n + τ) • Δf;
τ = (Δf _ass / Δf) • d ≅ 1;
for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

the number of combinations from p to j;

moreover, the value of the carrier frequency f _carried signal is calculated by the formula f _carried = r • Δf _ass , where r = 0, 1, 2, ... is the number of the spectral component with the maximum amplitude of the signal power. 4. A method for estimating the carrier frequency of a signal, which consists in pre-sampling it within the search frequency band, calculating the components of its power spectral density S (n), n = 0, 1, 2, ..., at discrete points with a frequency distance Δf, separation of the spectral component with a maximum amplitude of the signal power and its corresponding number and calculation of the carrier frequency, characterized in that after sampling the signal it is converted by the Hartley transform, then the resulting sequence is multiplied by the transformation matrix from the Hartley basis to the Fourier basis, after which the components of the power spectral density S (n) of the signal are calculated at discrete points with a frequency distance Δf, then the components of the power spectral density of the signal are converted by the Hartley transform, the result of this Hartley transformation is multiplied by the transformation matrix from the basis Hartley in the Fourier basis, then the result of this multiplication is elementwise divided by a sequence of discrete samples obtained by the Fourier transform of a periodic B-spline of the given degree p-1, p = 2, 3, 4 ..., then the spectral coefficients in the Hartley basis are calculated by multiplying the obtained from dividing the sequence of discrete samples by the transformation matrix from the Fourier basis to the Hartley basis, after which the obtained spectral coefficients in the Hartley basis transformed by the Hartley method into a sequence of discrete samples g (n), and then calculate the components of the power spectral density

(r, n) signal within the search frequency band with a given resolution Δf _ass by the formula

where r ∈ [Δf • n; Δf • (n + 1)];
r = (n + τ) • Δf;
τ = (Δf _ass / Δf) • d ≅ 1;
for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

the number of combinations from p to j;

moreover, the value of the carrier frequency f _carried signal is calculated by the formula f _carried = r • Δf _ass , where r = 0, 1, 2, ... is the number of the spectral component with the maximum amplitude of the signal power. 5. A method for estimating the carrier frequency of a signal, which consists in pre-sampling it within the search frequency band, calculating N components of its power spectral density S (n) at discrete points using the Fourier transform, where the number of components of the power spectral density is N = 2 ^L , a L = 1, 2, 3, ..., the allocation of the frequency domain ΔF of the power spectral density function with the maximum signal power concentration, the allocation of the spectral component with the maximum signal power amplitude at the frequency f _n = n • Δf, where n = 0, 1, 2, ... is the number of the spectral component with the maximum amplitude of the signal power, Δf is the frequency distance between the spectral components and the calculation of the carrier frequency, characterized in that after calculating the components of the spectral power density S (n) of the signal at discrete points, the spectral density the signal powers are converted by the Fourier transform method, then the converted spectral power density of the signal power is element-wise divided by a sequence of discrete samples obtained by the Fourier transform of The periodic spline predetermined degree p-1, p = 2, 3, 4, ..., obtained after dividing a sequence of discrete samples converted by inverse Fourier transform into a sequence of discrete samples g (n), is then calculated components of the power spectral density

(r, n) signal within the search frequency band with a given resolution Δf _ass in the interval from n-1 to n + 1 according to the formula

where r ∈ [Δf • n; Δf • (n + 1)];
r = (n + τ) • Δf;
τ = (Δf _ass / Δf) • d ≅ 1;
for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

- the number of combinations from p to j;

allocate the number r (r = 0, 1, 2, ...) of the spectral component with the maximum amplitude of the signal power, and the value of the carrier frequency f _carried signal is calculated by the formula f _carried = (n-1) • Δf + r • Δf _ass , the position of the spectral component with number r = 0 corresponds to the position of the spectral component with number n-1, where 0 <n <N. 6. A method for estimating the carrier frequency of a signal, which consists in pre-sampling it within the search frequency band, calculating the components of its power spectral density S (n), n = 0, 1, 2, ..., at discrete points with a frequency distance Δf method Fourier transform, isolating the spectral component with a maximum amplitude of the signal power and the corresponding number and calculating the carrier frequency, characterized in that after calculating the components of the spectral power density S (n) of the signal at discrete points
with a frequency distance Δf, the spectral power density of the signal is converted by the Hartley transform, then the sequence of discrete samples obtained by the Hartley transform is divided elementwise into the sequence of discrete samples obtained by the Hartley transform from a periodic B-spline of a given degree p-1, p = 2, 3, 4, ..., the sequence obtained after division is converted by the Hartley transform method into a sequence of discrete samples g (n), then the components of the spectral density are calculated capacities

(r, n) signal within the search frequency band with a given resolution Δf _ass by the formula

where r ∈ [Δf • n; Δf • (n + 1)];
r = (n + τ) • Δf;
τ = (Δf _ass / Δf) • d ≅ 1,
for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

the number of combinations from p to j;

moreover, the value of the carrier frequency f _carried signal is calculated by the formula f _carried = r • Δf _ass , where r = 0, 1, 2, ... is the number of the spectral component with the maximum amplitude of the signal power. 7. A method for estimating the carrier frequency of a signal, which consists in pre-sampling it within the search frequency band, calculating the components of its power spectral density S (n), n = 0, 1, 2, ..., at discrete points with a frequency distance Δf, the selection of the spectral component with the maximum amplitude of the signal power and the corresponding number and the calculation of the carrier frequency, characterized in that after sampling the signal it is converted by the Hartley transform, then the components of the spectral density the power of the signal from the Hartley basis, the obtained spectral power density S (n) of the signal is converted by the Hartley transform method, then the result of this transformation is elementwise divided by a sequence of discrete samples obtained by the Hartley transform from a periodic B-spline of a given degree p-1, p = 2, 3, 4, ..., the sequence of discrete samples after division is converted by the Hartley transform method into a sequence of discrete samples g (n), then the components of the power spectral density are calculated

(r, n) signal within the search frequency band with a given resolution Δf _ass by the formula

where r ∈ [Δf • n; Δf • (n + 1)];
r = (n + τ) • Δf;
τ = (Δf _ass / Δf) • d ≅ 1,
for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

the number of combinations from p to j;

moreover, the value of the carrier frequency f _carried signal is calculated by the formula f _carried = r • Δf _ass , where r = 0, 1, 2, ... is the number of the spectral component with the maximum amplitude of the signal power. 8. A method for estimating the carrier frequency of a signal, which consists in pre-sampling it within the search frequency band, calculating the components of its power spectral density S (n), n = 0, 1, 2, ..., at discrete points with a frequency distance Δf, the selection of the spectral component with the maximum amplitude of the signal power and the corresponding number and the calculation of the carrier frequency, characterized in that after sampling the signal it is converted by the Hartley transform, then the components of the spectral density the signal power S (n) from the Hartley basis, after which the spectral power density of the signal is converted by the Fourier transform, then the elements of the converted spectral power density of the signal are divided into the corresponding elements of the sequence of discrete samples obtained by the Fourier transform of the periodic B-spline of a given degree p-1, p = 2, 3, 4, ..., and the sequence of discrete samples obtained after division is divided after division by the inverse Fourier transform into a sequence of discrete samples g (n) and then calculate the components of the power spectral density

(r, n) signal within the search frequency band with a given resolution Δf _ass by the formula

where r ∈ [Δf • n; Δf • (n + 1)];
r = (n + τ) • Δf;
τ = (Δf _ass / Δf) • d ≅ 1;
for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

the number of combinations from p to j;

moreover, the value of the carrier frequency f _carried signal is calculated by the formula f _carried = r • Δf _ass , where r = 0, 1, 2, ... is the number of the spectral component with the maximum amplitude of the signal power. 9. A method for estimating the carrier frequency of a signal, which consists in its preliminary sampling within the search frequency band, calculation of N components of its power spectral density S (n) at discrete points by the Fourier transform method, where the number of components of the power spectral density is N = 2 ^L , a L = 1, 2, 3, ..., the allocation of the frequency domain ΔF of the power spectral density function with the maximum signal power concentration, the allocation of the spectral component with the maximum signal power amplitude at the frequency f _n = n • Δf, where n = 0, 1, 2, ... is the number of the spectral component with the maximum signal power amplitude, Δf is the frequency distance between the spectral components, and the calculation of the carrier frequency value, characterized in that after calculating the power spectral density components S (n) of the signal at discrete points, the power spectral density transform by the Hartley transform method, then the sequence of discrete samples obtained by the Hartley transform method is element-wise divided by the sequence of discrete samples obtained by the transform using a Hartley periodic B-spline of a given degree p-1, p = 2, 3, 4, ..., the sequence of discrete samples obtained after division is converted by the Hartley method into a sequence of discrete samples g (n), then the power spectral density components are calculated

(r, n) signal within the search frequency band with a given resolution Δf _ass in the interval from n-1 to n + 1 according to the formula

where r ∈ [Δf • n; Δf • (n + 1)];
r = (n + τ) • Δf;
τ = (Δf _ass / Δf) • d ≅ 1;
for M <0, g (M) = 0;
d = 0, 1, 2, ..., Δf / Δf _ass is a non-negative integer;

the number of combinations from p to j;

allocate the number r (r = 0, 1, 2, ...) of the spectral component with the maximum amplitude of the signal power, and the value of the carrier frequency f _carried signal is calculated by the formula f _carried = (n-1) • Δf + r • Δf _ass , the position of the spectral component with number r = 0 corresponds to the position of the spectral component with number n-1, where 0 <n <N.  10. A carrier frequency estimator comprising an analog-to-digital converter, a first and second memory blocks, a Fourier transform and power spectral density determination unit, a multiplier, a frequency determining unit and a control unit, the first output of which is connected to a resolution input of the analog-to-digital converter, information whose input is the information bus of the carrier frequency estimator, the readiness output is connected to the fourth input of the control unit, and the group of information outputs with the group of formation inputs of the first memory block, the group of control inputs of which is combined with the groups of control inputs of the Fourier transform unit and determining the spectral power density, the second memory block, the frequency determination unit and the third group of outputs of the control unit, the second group of outputs of which are connected to the groups of address inputs of the second and first memory blocks, the group of information outputs of which is connected to the group of information inputs of the Fourier transform unit and determining the power spectral density and, characterized in that the third sixth memory unit, the fast Fourier transform unit and the inverse fast Fourier transform unit and determining the power spectral density are additionally introduced, the group of information outputs of the Fourier transform unit and determining the spectral power density connected to the group of information inputs of the second memory unit, the group of information outputs of which is connected to the group of information inputs of the fast Fourier transform block, the group of information outputs of which о is connected to the group of information inputs of the fourth memory block, the group of address inputs of which is combined with the groups of address inputs of the third, fifth and sixth memory blocks, with the second group of outputs of the control unit, and the group of information outputs - with the first group of inputs of the multiplier, the second group of inputs of which is connected with a group of information outputs of the third memory block, and a group of outputs with a group of information inputs of the fifth memory block, the group of control inputs of which is combined with groups of four control inputs the second and sixth memory blocks, the inverse fast Fourier transform block and determining the power spectral density, the fast Fourier transform block and the third group of outputs of the control unit, and the information output group of the fifth memory block is connected to the information inputs of the inverse fast Fourier transform block and determining the power spectral density the group of information outputs of which is connected to the group of information inputs of the sixth memory unit, the group of information outputs of which oedinena with the group information input detection unit frequency band whose output is the output line of the carrier frequency estimating apparatus, the clock bus which is connected to the clock input of analog-to-digital converter.  11. A carrier frequency estimator comprising an analog-to-digital converter, first and second memory blocks, a Fourier transform and power spectral density determination unit, a first multiplier, a frequency determination unit and a control unit, the first output of which is connected to a resolution input of the analog-to-digital converter, the information input of which is the information bus of the carrier frequency estimation device, the readiness output is connected to the fourth input of the control unit, and the group of information outputs is connected to Uppy information inputs of the first memory block, the group of control inputs of which is combined with the groups of control inputs of the Fourier transform unit and determining the spectral power density, the second memory block, the frequency determination unit and the third group of outputs of the control unit, the second group of outputs of which are connected to the groups of address inputs of the second and the first memory blocks, the group of information outputs of which are connected to the group of information inputs of the Fourier transform unit and determine the spectral density and power, characterized in that the third and eighth memory blocks, the second and third multipliers, the Hartley transform block and the Hartley transform block and determine the power spectral density are additionally introduced, the group of information outputs of the Fourier transform block and the determination of the spectral power density connected to the group of information inputs the second memory block, the group of information outputs of which is connected to the group of information inputs of the Hartley transform block, the group of control inputs of which combined with the groups of control inputs of the third to eighth memory blocks, the Hartley transform block and determining the spectral power density and the third group of outputs of the control block, and the group of information outputs of the Hartley transform block is connected to the group of information inputs of the fourth memory block, the address group of inputs of which is combined with the groups of address inputs of the third, fifth to eighth memory blocks, a group of information outputs of the fourth memory block is connected to the first group of inputs of the first multiply a unit, the second group of inputs of which is connected to the group of information outputs of the third memory block, and the group of outputs - with the second group of inputs of the second multiplier, the first group of inputs which is connected to the group of information outputs of the fifth memory block, and the group of outputs - with the second group of inputs of the third multiplier, the first group of inputs of which is connected to the group of information outputs of the sixth memory block, and the group of outputs - to the group of information inputs of the seventh memory block, the group of information outputs of which is connected with a group of information inputs of a Hartley transform unit and determining a spectral power density, a group of information outputs of which is connected to a group of information inputs of an eighth memory unit, a group of information outputs of which is connected to a group of information inputs of a frequency determination unit, the output group of which is an output bus of a carrier frequency estimator, whose clock bus is connected to the clock input of the analog-to-digital converter, the control unit is designed to form Ania teams on alternate reading of the values recorded in the fourth storage unit.  12. A carrier frequency estimator comprising an analog-to-digital converter, a first and second memory blocks, a first multiplier, a frequency determination unit and a control unit, wherein the information input of the analog-to-digital converter is an information bus of the carrier frequency estimator, the resolution input of which is connected to the first the output of the control unit, the fourth input of which is connected to the readiness output of the analog-to-digital converter, the group of information outputs of which is connected to the group of information ion inputs of the first memory block, the group of control inputs of which is combined with the groups of control inputs of the second memory block and the frequency determination unit and the third group of outputs of the control unit, and the group of address inputs of the first memory block is combined with the group of address inputs of the second memory block and the second group of outputs of the control unit , characterized in that the Hartley transform block is additionally introduced, the third to the eighth memory blocks, the unit for determining the spectral power density and Fourier transform, multiply the second an inverse Fourier transform unit and a power spectral density determination unit, the group of information outputs of the first memory unit being connected to a group of information inputs of a Hartley transform unit, the control input group of which is combined with the groups of control inputs of the third to eighth memory units, the inverse Fourier transform unit, and determining the spectral power density and the third group of outputs of the control unit, by commands from which the values obtained in the unit for determining the spectral plane power and Fourier transforms are recorded in the sixth memory block, and the group of information outputs of the first memory block is connected to the group of information inputs of the Hartley transform block, the group of control inputs of which is combined with the groups of control inputs of the third to eighth memory blocks, the inverse Fourier transform block and the spectral determination power density and the third group of outputs of the control unit, and the group of information outputs of the Hartley transform unit is connected to the group of information in moves of the second memory block, the group of address inputs of which is combined with the group of address inputs of the third to eighth memory blocks, and the group of information outputs of the second memory block with the first group of inputs of the first multiplier, the second group of inputs of which is connected to the group of information outputs of the third memory block, and the group outputs - with a group of information inputs of the fourth memory block, a group of information outputs of which is connected to a group of information inputs of a unit for determining the spectral power density, etc. Fourier transforms, the group of information outputs of which is connected to the group of information inputs of the sixth memory block, the group of information outputs of which is connected to the first group of inputs of the second multiplier, the second group of inputs of which is connected to the group of information outputs of the fifth memory block, and the group of outputs - with the group of information inputs of the seventh a memory block, the group of information outputs of which is connected to the group of information inputs of the inverse Fourier transform block and determine the spectral density power, the group of information outputs of which is connected to the group of information inputs of the eighth memory unit, the group of information outputs of which is connected to the group of information inputs of the frequency determination unit, the group of outputs of which is the output bus of the carrier frequency estimator, the clock bus of which is connected to the clock input of the analog-digital converter.  13. A carrier frequency estimator comprising an analog-to-digital converter, first and second memory blocks, a first multiplier, a frequency determination unit and a control unit, wherein the information input of the analog-to-digital converter is an information bus of the carrier frequency estimator, the resolution input of which is connected to the first the output of the control unit, the fourth input of which is connected to the readiness output of the analog-to-digital converter, the group of information outputs of which is connected to the group of information ion inputs of the first memory block, the group of control inputs of which is combined with the groups of control inputs of the second memory block and the frequency determination block, and the third group of outputs of the control block, and the group of address inputs of the first memory block is combined with the group of address inputs of the second memory block and the second group of block outputs control, characterized in that an additional third to tenth memory blocks, a second to a fourth multiplier, a Hartley transform block, a power spectral density determination unit and a pre the Hartley transform and the Hartley transform block and determine the power spectral density, wherein the group of information outputs of the first memory block is connected to the group of information inputs of the Hartley transform block, the group of control inputs of which is combined with the groups of control inputs of the third to tenth memory blocks, the group of control inputs of the spectral density determination block power and Hartley transform, the group of inputs of the control unit of the Hartley transform and determine the spectral density of the power and the third group of outputs of the control unit, and the group of information outputs of the Hartley transform block with the group of information inputs of the second memory block, the group of information outputs of which is connected to the first group of inputs of the first multiplier, the second group of inputs of which is connected to the group of information outputs of the third memory block, and the group of outputs - with a group of information inputs of the fourth memory block, the group of address inputs of which is combined with groups of address inputs of the third, fifth - tenth memory blocks, and g UPA information outputs - with a group of information inputs of a unit for determining the spectral power density and Hartley transform, a group of information outputs of which is connected to a group of information inputs of a sixth memory unit, a group of information outputs of which is connected to a first group of inputs of a second multiplier, a second group of inputs of which is connected to a group of information the outputs of the fifth memory block, and the group of outputs with the second group of inputs of the third multiplier, the first group of inputs of which is connected to sing the information outputs of the seventh memory block, and the group of outputs - with the second group of inputs of the fourth multiplier, the first group of inputs of which is connected to the group of information outputs of the eighth memory block, and the group of outputs - with the group of information inputs of the ninth memory block, the group of information outputs of which is connected to the group information inputs of the Hartley transform block and determining the spectral power density, the group of information outputs of which is connected to the group of information inputs of the tenth block and memory, the group of information outputs of which is connected to the group of information inputs of the frequency determination unit, the group of information outputs of which is the output bus of the carrier frequency estimator, the clock bus of which is connected to the clock input of the analog-to-digital converter.  14. A carrier frequency estimator comprising an analog-to-digital converter, first and second memory blocks, a Fourier transform and power spectral density determination unit, a multiplier, a frequency determining unit and a control unit, the first output of which is connected to a resolution input of the analog-to-digital converter, information whose input is the information bus of the carrier frequency estimator, the readiness output is connected to the fourth input of the control unit, and the group of information outputs is connected to the group information inputs of the first memory block, the group of control inputs of which is combined with the groups of control inputs of the Fourier transform unit and determining the spectral power density, the second memory block, the frequency determining unit and the third group of outputs of the control unit, the second group of outputs of which are connected to the groups of address inputs of the second and first memory blocks, the group of information outputs of which is connected to the group of information inputs of the Fourier transform block and determine the spectral density powerfully characterized in that a third to sixth memory unit, a fast Fourier transform unit and an inverse fast Fourier transform unit and determining a power spectral density are additionally introduced, the group of information outputs of the Fourier transform unit and determining a power spectral density connected to information input groups of the sixth memory unit and a second memory unit, the group of information outputs of which is connected to the group of information inputs of the fast Fourier transform unit, the input group in the control of which it is combined with groups of control inputs of the fourth, fifth and sixth memory blocks, an inverse fast Fourier transform unit and determining the spectral power density and a third group of outputs of the control unit, and a group of information outputs with a group of information inputs of the fourth memory block, a group of address inputs of which combined with groups of address inputs of the third, fifth and sixth memory blocks, and a group of information outputs connected to a second group of inputs of the multiplier, the first group in whose moves are connected to the group of information outputs of the third memory block, and the group of outputs to the group of information inputs of the fifth memory block, the group of information outputs of which is connected to the group of information inputs of the inverse fast Fourier transform unit and determining the spectral power density, the group of information outputs of which is bitwise connected to a group of information inputs of the sixth memory block, a group of information outputs of which is connected to a group of information inputs of a block frequency division, the group of outputs of which is the output bus of the carrier frequency estimator, the clock bus of which is connected to the clock input of the analog-to-digital converter.  15. A carrier frequency estimator comprising an analog-to-digital converter, a first and second memory blocks, a Fourier transform and spectral power density determination unit, a multiplier, a frequency determining unit and a control unit, the first output of which is connected to a resolution input of the analog-to-digital converter, information whose input is the information bus of the carrier frequency estimator, the readiness output is connected to the fourth input of the control unit, and the group of information outputs is connected to the group information inputs of the first memory block, the group of control inputs of which is combined with the groups of control inputs of the Fourier transform unit and determining the spectral power density, the frequency determination unit and the third group of outputs of the control unit, the second group of outputs of which is connected to the groups of address inputs of the second and first memory blocks, group information outputs which is connected to a group of information inputs of the Fourier transform unit and determine the spectral power density, characterized in that the Hartley transform block is additionally introduced, the third to the sixth memory block and the Hartley transform block and determine the power spectral density, and the group of information outputs of the Fourier transform block and determine the spectral power density is connected to the group of information inputs of the second memory block, the group of control inputs of which are combined with the groups the control inputs of the Hartley transform block, the fourth, fifth and sixth memory blocks, the Hartley transform block and the spectral determination power density, and the third group of outputs of the control unit, and the group of information outputs is connected to the group of information inputs of the Hartley transform block, the group of information outputs of which is connected to the group of information inputs of the fourth memory block, the group of address inputs of which is combined with the group of address inputs of the third, fifth and sixth blocks of memory, and the group of information outputs with the second group of inputs of the multiplier, the first group of inputs of which are connected to the group of information outputs of the third memory window, and the group of outputs is connected to the group of information inputs of the fifth memory block, the group of information outputs of which is connected to the group of information inputs of the Hartley transform block and determining the spectral power density, the group of information outputs of which is connected to the group of information inputs of the sixth memory block, the group of information outputs of which connected to the group of information inputs of the frequency determination unit, the group of outputs of which is the output bus of the carrier estimator often you, the clock bus of which is connected to the clock input of the analog-to-digital converter, the control unit is designed to generate commands for alternately reading the values recorded in the third, fourth and fifth memory blocks, and writing values to the sixth memory block.  16. A carrier frequency estimator comprising an analog-to-digital converter, a first and second memory blocks, a multiplier, a frequency determination unit and a control unit, wherein the information input of the analog-to-digital converter is an information bus of the carrier frequency estimator, the resolution input of which is connected to the first output a control unit, the fourth input of which is connected to the readiness output of the analog-to-digital converter, the group of information outputs of which is connected to the group of information the inputs of the first memory unit, the group of control inputs of which is combined with the groups of control inputs of the second memory unit and the frequency determination unit, and the third group of outputs of the control unit, and the group of address inputs of the first memory unit is combined with the group of address inputs of the second memory unit and the second group of outputs of the control unit characterized in that the first and second blocks of the Hartley transform and determination of the spectral power density are additionally introduced, the third and sixth memory blocks, the spectral determination block power units, a Hartley transform unit, wherein the group of information outputs of the first memory unit is connected to the group of information inputs of the first Hartley transform unit and determining the spectral power density, the group of control inputs of which is combined with the group of control inputs of the Hartley transform unit, fourth, fifth and sixth memory units, the second Hartley transform block and determining the power spectral density, and the third group of outputs of the control unit, and the group of information outputs - with a group of information inputs of a second memory block, a group of information outputs of which is connected to a group of information inputs of a Hartley transform block, a group of information outputs of which is connected with a group of information inputs of a fourth memory block, a group of address inputs of which is combined with groups of address inputs of the third, fifth, and sixth blocks memory, the control unit is designed to generate commands for sequentially reading values from the third, fourth and fifth memory blocks and writing values into the sixth memory block, and the group of information outputs of the fourth memory block is connected to the second group of inputs of the multiplier, the first group of inputs of which is connected to the group of information outputs of the third memory block, and the group of outputs to the group of information inputs of the fifth memory block, the group of information outputs of which is connected to a group of information inputs of the second Hartley transform block and determining the spectral power density, a group of information outputs of which is connected to a group of information inputs in the sixth memory unit, the group of information outputs of which is connected to the group of information inputs of the frequency determination unit, the group of outputs of which is the output bus of the carrier frequency estimator, the clock bus of which is connected to the clock input of the analog-to-digital converter.  17. A carrier frequency estimator comprising an analog-to-digital converter, a first and second memory blocks, a multiplier, a frequency determination unit and a control unit, wherein the information input of the analog-to-digital converter is an information bus of the carrier frequency estimator, whose resolution input is connected to the first output a control unit, the fourth input of which is connected to the readiness output of the analog-to-digital converter, the group of information outputs of which is connected to the group of information the inputs of the first memory unit, the group of control inputs of which is combined with the groups of control inputs of the second memory unit, the frequency determination unit and the third group of outputs of the control unit, and the group of address inputs of the first memory unit is combined with the group of address inputs of the second memory unit and the second group of outputs of the control unit, characterized in that the Hartley transform block and the determination of the power spectral density, the Fourier transform block, the third to the sixth memory blocks and the inverse transform block are additionally introduced Fourier transform and determining the spectral power density, moreover, the group of information outputs of the first memory block is connected to the group of information inputs of the Hartley transform block and determining the spectral density of the power, the group of control inputs of which is designed to influence the signals generated by the control block, is combined with the groups of control inputs of the transform block Fourier, inverse Fourier transform block and determining the power spectral density, fourth, fifth and sixth blocks n memory, and the group of information outputs with the group of information inputs of the second memory block, the group of information outputs of which is connected to the group of information inputs of the Fourier transform block, the group of information outputs of which is connected to the group of information inputs of the fourth memory block, the group of address inputs of which is combined with groups of address inputs of the third, fifth and sixth memory blocks, the control unit is designed to generate commands for alternately reading the values recorded in the third, fourth With the fifth and fifth memory blocks, and writing values to the sixth memory block, and the group of information outputs of the fourth memory block is connected to the second group of inputs of the multiplier, the first group of inputs of which is connected to the group of information outputs of the third memory block, and the group of outputs to the group of information inputs of the fifth a memory unit, the group of information outputs of which is connected to the group of information inputs of the inverse Fourier transform unit and determining the spectral power density, the group of information outputs of which It is connected to the group of information inputs of the sixth memory unit, the group of information outputs of the moves of which is connected to the group of information inputs of the frequency determination unit, the group of outputs of which is the output bus of the carrier frequency estimator, the clock bus of which is connected to the clock input of the analog-to-digital converter.  18. A carrier frequency estimator comprising an analog-to-digital converter, a first and second memory blocks, a Fourier transform and determining a power spectral density, a multiplier, a frequency determining unit and a control unit, the first output of which is connected to a resolution input of the analog-to-digital converter, information whose input is the information bus of the carrier frequency estimator, the readiness output is connected to the fourth input of the control unit, and the group of information outputs is connected to the group information inputs of the first memory block, the group of control inputs of which is combined with the groups of control inputs of the Fourier transform unit and determining the spectral power density, the second memory block, the frequency determining unit and the third group of outputs of the control unit, the second group of outputs of which are connected to the groups of address inputs of the second and first memory blocks, the group of information outputs of which is connected to the group of information inputs of the Fourier transform block and determine the spectral density powerfully characterized in that the Hartley transform block is additionally introduced, the third to the sixth memory blocks and the Hartley transform block and determine the power spectral density, the group of information outputs of the Fourier transform block and the determination of the spectral power density combined with the information input groups of the sixth memory block and the second a memory block, the group of information outputs of which is connected to the group of information inputs of the Hartley transform block, the group of control inputs of which is combined with groups of control inputs of the fourth, fifth and sixth memory blocks, a Hartley transform unit and determining the spectral power density, and a third group of outputs of the control unit, and a group of information outputs is connected to a group of information inputs of the fourth memory block, the group of address inputs of which is combined with groups of address inputs the third, fifth and sixth memory blocks, and the second group of outputs of the control unit, and the group of information outputs is connected to the second group of inputs of the multiplier, the first group whose moves are connected to the group of information outputs of the third memory block, and the group of outputs is connected to the group of information inputs of the fifth memory block, the group of information outputs of which is connected to the group of information inputs of the Hartley transform block and determining the spectral power density, the group of information outputs of which is bitwise connected to the group of information the inputs of the sixth memory unit, the group of information outputs of which is connected to the group of information inputs of the frequency determination unit, the output PPA of which is the output bus of the carrier frequency estimator, the clock bus of which is connected to the clock input of the analog-to-digital converter.

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