CN112583753A - Phase compensation method and electronic equipment - Google Patents

Phase compensation method and electronic equipment Download PDF

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CN112583753A
CN112583753A CN201910941184.4A CN201910941184A CN112583753A CN 112583753 A CN112583753 A CN 112583753A CN 201910941184 A CN201910941184 A CN 201910941184A CN 112583753 A CN112583753 A CN 112583753A
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correlation matrix
determining
ofdm
correlation
phase noise
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CN112583753B (en
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杨国翔
石璟
郑未
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Datang Mobile Communications Equipment Co Ltd
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Datang Mobile Communications Equipment Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • H04L27/2601Multicarrier modulation systems
    • H04L27/2647Arrangements specific to the receiver only
    • H04L27/2655Synchronisation arrangements
    • H04L27/2657Carrier synchronisation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202Channel estimation
    • H04L25/0224Channel estimation using sounding signals
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • H04L27/2601Multicarrier modulation systems
    • H04L27/2647Arrangements specific to the receiver only

Abstract

The invention relates to the technical field of communication, and provides a phase compensation method and electronic equipment to solve the problem of poor compensation effect. The method comprises the steps of receiving a first signal, wherein the first signal comprises N Orthogonal Frequency Division Multiplexing (OFDM) symbols and pilot symbols corresponding to the N OFDM symbols respectively; performing fast Fourier transform on the first signal to obtain a second signal, wherein the second signal comprises N OFDM signals corresponding to N OFDM symbols and pilot signals corresponding to the N OFDM signals respectively; determining common phase errors corresponding to the N OFDM signals respectively based on pilot signals corresponding to the N OFDM signals respectively; and determining S target phase noise values according to the public phase errors corresponding to the N OFDM signals respectively, and performing phase compensation on the first signal according to the S target phase noise values to obtain a target signal so as to improve the compensation effect.

Description

Phase compensation method and electronic equipment
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a phase compensation method and an electronic device.
Background
Phase noise is a multiplicative noise introduced by the non-idealities of frequency devices in a communication system. The strength of the phase noise increases with increasing carrier frequency. In a wireless system using a high-frequency carrier for transmission, the influence of phase noise is not negligible, the phase noise has an influence on the system performance, and phase noise compensation can be performed on signals in order to improve the system performance.
An OFDM (orthogonal frequency division multiplexing) waveform is a waveform widely used in a practical communication system, and compensation for phase noise is usually estimated and compensated based on a pilot signal. However, in the above compensation scheme, the signal is transformed after receiving the signal, and then CPE (common phase error) estimation is performed based on the transformed signal, and the transformed signal is compensated by using phase noise estimation, which tends to result in poor compensation effect.
Disclosure of Invention
The embodiment of the invention provides a phase compensation method and electronic equipment, and aims to solve the problem of poor compensation effect in the prior art.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, a phase compensation method of an embodiment is provided, where the method includes:
receiving a first signal, where the first signal includes N Orthogonal Frequency Division Multiplexing (OFDM) symbols and pilot symbols corresponding to the N OFDM symbols, and N is an integer greater than 1;
performing fast fourier transform on the first signal to obtain a second signal, where the second signal includes N OFDM signals corresponding to the N OFDM symbols and pilot signals corresponding to the N OFDM signals, respectively;
determining common phase errors corresponding to the N OFDM signals respectively based on pilot signals corresponding to the N OFDM signals respectively;
determining S target phase noise values according to the public phase errors corresponding to the N OFDM signals respectively, wherein S is an integer larger than N;
and carrying out phase compensation on the first signal according to the S target phase noise values to obtain a target signal.
Optionally, the determining S target phase noise values according to the common phase errors respectively corresponding to the N OFDM signals includes:
determining S target phase noise values according to public phase errors corresponding to the N OFDM signals respectively and a correlation matrix, wherein the correlation matrix is a matrix determined according to a preset discrete power spectrum; or
And determining S target phase noise values according to the common phase errors respectively corresponding to the N OFDM signals and the phase difference between the tail data and the cyclic prefix CP data in each OFDM symbol in the N OFDM symbols.
Optionally, the correlation matrix includes a first correlation matrix and a second correlation matrix, where the first correlation matrix and the second correlation matrix are determined by:
determining M correlation function values according to a preset discrete power spectrum, wherein the number of discrete points of the preset discrete power spectrum is M, and M is an integer larger than N;
and determining the first correlation matrix and the second correlation matrix based on the M correlation function values, wherein the size of the first correlation matrix is N x N, and the size of the second correlation matrix is S x N.
Optionally, the determining M correlation function values according to the preset discrete power spectrum includes:
and summing the product of the power value of the discrete point in the preset discrete power spectrum and the Kth exponential function corresponding to the frequency of the discrete point to obtain the Kth related function value, wherein K is an integer and is more than or equal to 0 and less than or equal to M-1.
Optionally, the determining the first correlation matrix and the second correlation matrix based on the M correlation function values includes:
determining the (v-u) th correlation function value as the element value of the (u) th row and (v) th column of the first correlation matrix under the condition that v is greater than or equal to u, wherein u is greater than or equal to 1 and less than or equal to N, and v is greater than or equal to 1 and less than or equal to N;
determining a conjugate value of the u-v correlation function values as an element value of the u row and the v column of the first correlation matrix in the case where v is smaller than u;
determining the q-p correlation function values as the element values of the p row and the q column of the second correlation matrix under the condition that q is greater than or equal to p, wherein p is greater than or equal to 1 and less than or equal to S, and v is greater than or equal to 1 and less than or equal to N;
and in the case that q is smaller than p, determining the conjugate value of the p-q correlation function value as the element value of the p row and q column of the second correlation matrix.
Optionally, the determining S target phase noise values according to the common phase errors and the correlation matrix respectively corresponding to the N OFDM signals includes:
and dividing the second correlation matrix by a result matrix of the first correlation matrix, and multiplying a common phase error column vector by the result matrix to obtain a target phase noise column vector, wherein the common phase error column vector comprises common phase errors respectively corresponding to the N OFDM signals, and the target phase noise column vector comprises S target phase noise values.
Optionally, the determining S target phase noise values according to the common phase errors respectively corresponding to the N OFDM signals and the phase difference between the tail data and the CP data in each of the N OFDM symbols includes:
acquiring data periods and prefix periods of the N OFDM symbols;
and determining the S target phase noise values according to the common phase errors corresponding to the N OFDM signals, the phase difference between the tail data and the Cyclic Prefix (CP) data of each OFDM symbol in the N OFDM symbols, and the data periods and prefix periods of the N OFDM symbols.
In a second aspect, there is also provided a terminal, including:
a receiving module, configured to receive a first signal, where the first signal includes N Orthogonal Frequency Division Multiplexing (OFDM) symbols and pilot symbols corresponding to the N OFDM symbols, and N is an integer greater than 1;
a transform module, configured to perform fast fourier transform on the first signal to obtain a second signal, where the second signal includes N OFDM signals corresponding to the N OFDM symbols and pilot signals corresponding to the N OFDM signals, respectively;
an error determining module, configured to determine common phase errors corresponding to the N OFDM signals, based on pilot signals corresponding to the N OFDM signals, respectively;
a phase noise determining module, configured to determine S target phase noise values according to common phase errors corresponding to the N OFDM signals, where S is an integer greater than N;
and the compensation module is used for carrying out phase compensation on the first signal according to the S target phase noise values to obtain a target signal.
Optionally, the phase noise determining module includes:
a first determining module, configured to determine S target phase noise values according to common phase errors and a correlation matrix corresponding to the N OFDM signals, where the correlation matrix is a matrix determined according to a preset scattered power spectrum; or
And a second determining module, configured to determine S target phase noise values according to the common phase errors corresponding to the N OFDM signals, respectively, and a phase difference between tail data and cyclic prefix CP data in each of the N OFDM symbols.
Optionally, the correlation matrix includes a first correlation matrix and a second correlation matrix;
wherein, the terminal further includes:
the function value determining module is used for determining M related function values according to a preset discrete power spectrum, the number of discrete points of the preset discrete power spectrum is M, and M is an integer larger than N;
a correlation matrix determining module, configured to determine the first correlation matrix and the second correlation matrix based on the M correlation function values, where a size of the first correlation matrix is N × N, and a size of the second correlation matrix is S × N.
Optionally, the function value determining module includes:
and the correlation function value determining module is used for summing the product of the power value of the discrete point in the preset discrete power spectrum and the Kth exponential function corresponding to the frequency of the discrete point to obtain the Kth correlation function value, wherein K is an integer and is more than or equal to 0 and less than or equal to M-1.
In a third aspect, a terminal of an embodiment is further provided, including: a transceiver, a memory, a processor, and a program stored on the memory and executable on the processor;
the transceiver is configured to receive a first signal, where the first signal includes N Orthogonal Frequency Division Multiplexing (OFDM) symbols and pilot symbols corresponding to the N OFDM symbols, and N is an integer greater than 1;
the processor, when executing the program, implements the steps of:
performing fast fourier transform on the first signal to obtain a second signal, where the second signal includes N OFDM signals corresponding to the N OFDM symbols and pilot signals corresponding to the N OFDM signals, respectively;
determining common phase errors corresponding to the N OFDM signals respectively based on pilot signals corresponding to the N OFDM signals respectively;
determining S target phase noise values according to the public phase errors corresponding to the N OFDM signals respectively, wherein S is an integer larger than N; and performing phase compensation on the first signal according to the S target phase noise values to obtain a target signal.
Optionally, the determining S target phase noise values according to the common phase errors respectively corresponding to the N OFDM signals includes:
determining S target phase noise values according to public phase errors corresponding to the N OFDM signals respectively and a correlation matrix, wherein the correlation matrix is a matrix determined according to a preset discrete power spectrum; or
And determining S target phase noise values according to the common phase errors respectively corresponding to the N OFDM signals and the phase difference between the tail data and the cyclic prefix CP data in each OFDM symbol in the N OFDM symbols.
Optionally, the correlation matrix includes a first correlation matrix and a second correlation matrix, where the first correlation matrix and the second correlation matrix are determined by:
determining M correlation function values according to a preset discrete power spectrum, wherein the number of discrete points of the preset discrete power spectrum is M, and M is an integer larger than N;
and determining the first correlation matrix and the second correlation matrix based on the M correlation function values, wherein the size of the first correlation matrix is N x N, and the size of the second correlation matrix is S x N.
Optionally, the determining M correlation function values according to the preset discrete power spectrum includes:
and summing the product of the power value of the discrete point in the preset discrete power spectrum and the Kth exponential function corresponding to the frequency of the discrete point to obtain the Kth related function value, wherein K is an integer and is more than or equal to 0 and less than or equal to M-1.
Optionally, the determining the first correlation matrix and the second correlation matrix based on the M correlation function values includes:
determining the (v-u) th correlation function value as the element value of the (u) th row and (v) th column of the first correlation matrix under the condition that v is greater than or equal to u, wherein u is greater than or equal to 1 and less than or equal to N, and v is greater than or equal to 1 and less than or equal to N;
determining a conjugate value of the u-v correlation function values as an element value of the u row and the v column of the first correlation matrix in the case where v is smaller than u;
determining the q-p correlation function values as the element values of the p row and the q column of the second correlation matrix under the condition that q is greater than or equal to p, wherein p is greater than or equal to 1 and less than or equal to S, and v is greater than or equal to 1 and less than or equal to N;
and in the case that q is smaller than p, determining the conjugate value of the p-q correlation function value as the element value of the p row and q column of the second correlation matrix.
Optionally, the determining S target phase noise values according to the common phase errors and the correlation matrix respectively corresponding to the N OFDM signals includes:
and dividing the second correlation matrix by a result matrix of the first correlation matrix, and multiplying a common phase error column vector by the result matrix to obtain a target phase noise column vector, wherein the common phase error column vector comprises common phase errors respectively corresponding to the N OFDM signals, and the target phase noise column vector comprises S target phase noise values.
Optionally, the determining S target phase noise values according to the common phase errors respectively corresponding to the N OFDM signals and the phase difference between the tail data and the CP data in each of the N OFDM symbols includes:
acquiring data periods and prefix periods of the N OFDM symbols;
and determining the S target phase noise values according to the common phase errors corresponding to the N OFDM signals, the phase difference between the tail data and the Cyclic Prefix (CP) data of each OFDM symbol in the N OFDM symbols, and the data periods and prefix periods of the N OFDM symbols.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements the steps of the phase compensation method provided in the embodiment of the present invention.
In the embodiment of the present application, after the common phase errors corresponding to the N OFDM signals are determined, S target phase noise values are further determined according to the common phase errors corresponding to the N OFDM signals, and the received first signal is compensated by using the target phase noise values. That is, in the phase compensation process, not only the correlation of the common phase error is considered, but also the target phase noise value needs to be determined based on the common phase error, and the target phase noise value is used to compensate the received first signal, so as to implement the phase compensation of the first signal, thereby improving the compensation effect.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a flowchart of a phase compensation method according to an embodiment of the present invention;
fig. 2 is one of IFFT transformation diagrams provided by the embodiments of the present invention;
FIG. 3 is a block diagram of a first signal provided by an embodiment of the present invention;
FIG. 4 is a functional block diagram of a phase compensation method provided by an embodiment of the present invention;
fig. 5 is a structural diagram of a terminal according to an embodiment of the present invention;
fig. 6 is a structural diagram of another terminal according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without any inventive step, are within the scope of the present invention.
Referring to fig. 1, in an embodiment, a phase compensation method is provided, which may be applied to a terminal or a network side device, and the method includes:
step 101: and receiving a first signal, wherein the first signal comprises N Orthogonal Frequency Division Multiplexing (OFDM) symbols and pilot symbols corresponding to the N OFDM symbols respectively.
Wherein N is an integer greater than 1. The first signal may be understood as a time domain signal and is discrete. The OFDM symbol and the pilot symbol are both time domain signals. It is understood that, at the transmitting end, after performing fast fourier transform (for example, IFFT transform, i.e., inverse fast fourier transform) on the OFDM signal and the pilot signal in the frequency domain, the first signal in the time domain is obtained and transmitted. As shown in fig. 2, it is an IFFT transformation diagram, that is, a pilot signal (PT-RS) is inserted into an OFDM signal, and then the OFDM signal and the PT-RS are IFFT transformed to obtain a first signal, such as a signal with time on the abscissa and frequency on the ordinate in fig. 2.
OFDM symbol and OFDM signalCorrespondingly, the pilot symbol is the result of the above transformation of the pilot signal. At a receiving end (e.g., the terminal or the network side device), the first signal is received. As shown in fig. 3, if the first signal includes CP data with cyclic prefix, it can be understood that CP data is added for each OFDM after IFFT transformation is performed on the OFDM signal and the pilot signal, so that each OFDM symbol corresponds to a CP, that is, the first signal may further include N pieces of CP data, where data in fig. 3 is an OFDM symbol in the first signal, CP is CP data, and the period of the OFDM symbol is TdataThe period of CP data is Tcp
Step 102: and performing fast Fourier transform on the first signal to obtain a second signal, wherein the second signal comprises N OFDM signals corresponding to the N OFDM symbols and pilot signals corresponding to the N OFDM signals respectively.
After receiving the first signal, the first signal is subjected to Fast Fourier Transform (FFT), and a second signal in a frequency domain can be obtained. If the first signal has CP data, before performing FFT transformation on the first signal, CP removal processing may be performed, that is, CP in the first signal is removed, and the first signal after CP removal processing is subjected to FFT transformation to obtain a second signal.
Step 103: and determining common phase errors corresponding to the N OFDM signals respectively based on pilot signals corresponding to the N OFDM signals respectively.
After the second signal is obtained, the pilot signal in the second signal can be extracted, and the Common Phase Error (CPE) corresponding to each of the N OFDM signals is determined by using the pilot signal. Due to the fact that a structure that sub-carriers are orthogonal with each other is adopted, an OFDM system is sensitive to phase noise influence caused by instability of a local oscillator, the same phase deviation caused on all sub-carriers of each OFDM symbol is the common phase error of the OFDM symbol, each sub-carrier is influenced, the common phase error corresponding to the OFDM signals can be understood as the common phase error of the OFDM symbol, each OFDM signal corresponds to a pilot signal, and the common phase errors corresponding to the N OFDM signals are determined by means of the pilot signals corresponding to the N OFDM signals.
Each OFDM symbol may correspond to a plurality of pilot symbols, and in one example, each pilot symbol has its corresponding preset standard pilot symbol, and for one OFDM symbol, its corresponding common phase error may be calculated by an average value obtained by multiplying each of the plurality of pilot symbols in the OFDM symbol by a conjugate value of its corresponding preset standard pilot symbol.
Step 104: and determining S target phase noise values according to the public phase errors respectively corresponding to the N OFDM signals.
After the common phase error is obtained, a target phase noise value can be determined according to the common phase error, and S is an integer larger than N. That is, the common phase error is a parameter for determining the target phase noise value, and the obtained target phase noise value is related to the common phase error and can reflect the phase noise of the first signal. It can be understood that each OFDM symbol may correspond to a plurality of target phase noise values, that is, the target phase noise values may be performed on a plurality of sampling points in each OFDM symbol, and the S target phase noise values are the sum of the target phase noise values respectively corresponding to each OFDM symbol, that is, S is the sum of the number of the target phase noise values respectively corresponding to each OFDM symbol, where S may be N (T)data+Tcp) FS, FS is the OFDM system sampling frequency.
Step 105: and performing phase compensation on the first signal according to the S target phase noise values to obtain a target signal.
After S target phase noise values are obtained, phase compensation may be performed on the first signal to obtain a target signal, and it can be understood that the first signal is a frame data signal, is a discrete signal, and includes S discrete sub-signals.
In the phase compensation method of the embodiment of the application, after the common phase errors corresponding to the N OFDM signals are determined, S target phase noise values are determined according to the common phase errors corresponding to the N OFDM signals, and the received first signal is compensated by using the target phase noise values. That is, in the phase compensation process, not only the correlation of the common phase error is considered, but also the target phase noise value needs to be determined based on the common phase error, and the target phase noise value is used to compensate the received first signal, so as to implement the phase compensation of the first signal, thereby improving the compensation effect.
In one embodiment, determining S target phase noise values according to common phase errors corresponding to the N OFDM signals respectively includes:
determining S target phase noise values according to public phase errors corresponding to the N OFDM signals and a correlation matrix, wherein the correlation matrix is determined according to a preset discrete power spectrum; or
And determining S target phase noise values according to the common phase errors respectively corresponding to the N OFDM signals and the phase difference between the tail data and the cyclic prefix CP data in each OFDM symbol in the N OFDM symbols.
That is, in the present embodiment, the correlation matrix may be combined to determine S target phase noise values based on the common phase errors corresponding to the N OFDM signals, respectively. The correlation matrix is determined according to a preset discrete power spectrum, and the correlation matrix can be understood as a matrix related to the N common phase errors and can reflect the correlation between the N common phase errors. In addition, the target phase noise value may be determined by using the phase difference between the end data in each of the N OFDM symbols and the CP data obtained by temporally shifting the end data in the OFDM symbol in combination with the phase difference between the end data and the CP data in each of the N OFDM symbols in addition to the common phase error corresponding to each of the N OFDM signals, and by using the phase difference between the end data and the CP data and the common phase error corresponding to each of the N OFDM signals. The target phase noise value obtained by the two methods not only considers the common phase error, but also considers the inter-subcarrier interference (ICI), i.e. the phase difference between the end data and the CP data in the correlation matrix or OFDM symbol is reflected, so that the target behavior noise value is more accurate, and the first signal can be accurately compensated.
In one embodiment, the correlation matrix comprises a first correlation matrix and a second correlation matrix, wherein the first correlation matrix and the second correlation matrix are determined by:
determining M correlation function values according to a preset discrete power spectrum, wherein the number of discrete points of the preset discrete power spectrum is M, and M is an integer larger than N;
and determining a first correlation matrix and a second correlation matrix based on the M correlation function values, wherein the size of the first correlation matrix is N x N, and the size of the second correlation matrix is S x N.
Where denotes the multiplication, a predetermined discrete power spectrum is known, which can be obtained in advance from historical actual phase noise measurements. The preset discrete power spectrum comprises M discrete points, and each discrete point corresponds to a frequency and a power value corresponding to the frequency. In this embodiment, M correlation function values may be determined according to the preset discrete power spectrum, and it can be understood that the correlation function is related to the preset discrete power spectrum, and M values of the correlation function, that is, M correlation function values, may be obtained by calculation according to the preset discrete power spectrum. Then, a first correlation matrix and a second correlation matrix are determined based on the M correlation function values, wherein the first correlation matrix can be understood as one matrix related to the N common phase errors, the second correlation matrix can be understood as one matrix related to the N common phase errors, the first correlation matrix can be understood as an autocorrelation matrix of the N common phase errors, and the second correlation matrix can be understood as S target phase noise values and N common phase error cross-correlation matrices. And subsequently, S target phase noise values can be determined through the N public phase errors, the first correlation matrix and the second correlation matrix, so that the accuracy of the target phase noise values is improved.
In one embodiment, determining M correlation function values from a preset discrete power spectrum includes:
and summing the product of the power value of the discrete point in the preset discrete power spectrum and the Kth exponential function corresponding to the frequency of the discrete point to obtain the Kth related function value, wherein K is an integer and is more than or equal to 0 and less than or equal to M-1.
Obtaining M correlation function values according to a preset discrete power spectrum, and for a K-th correlation function value in the M correlation function values, summing up the products of a power value of a discrete point in the preset discrete power spectrum and a K-th exponential function corresponding to the frequency of the discrete point, namely obtaining a phase noise time domain correlation function based on the Venezlnchan theorem, namely according to a specific formula as follows:
Figure BDA0002222926440000111
wherein R (K) is the K-th correlation function value, P (f) is the power value with frequency f, f1For presetting the frequency, f, of the 1 st discrete point in the discrete power spectrumMFor presetting the frequency of the Mth discrete point in the discrete power spectrum, ej2πKfIs the Kth exponential function.
In one embodiment, determining the first correlation matrix and the second correlation matrix based on the M correlation function values comprises:
determining the v-u correlation function values as the element values of the u row and the v column of the first correlation matrix under the condition that v is greater than or equal to u, wherein u is greater than or equal to 1 and less than or equal to N, and v is greater than or equal to 1 and less than or equal to N;
determining the conjugate value of the u-v correlation function value as the element value of the u row and the v column of the first correlation matrix if v is less than u;
determining the q-p correlation function values as the element values of the p row and the q column of the second correlation matrix under the condition that q is greater than or equal to p, wherein p is greater than or equal to 1 and less than or equal to S, and v is greater than or equal to 1 and less than or equal to N;
in the case where q is smaller than p, the conjugate value of the p-q th correlation function value is determined as the element value of the p-th row and q-th column of the second correlation matrix.
That is, in the process of determining the first correlation matrix, it needs to be determined according to the sizes of v and u and the correlation function values, and in the first correlation matrix determined through the above process, the element value of the u-th row and the v-th column where v is greater than or equal to u is the v-u-th correlation function value, it can be understood that if v-u is greater than M-1, a value can be circularly taken according to the total number M of the correlation function values, for example, the v-u-M-th correlation function value can be taken as the v-u-th correlation function value. The value of the element in the row u, column v, where v is less than u, is the conjugate of the value of the correlation function for the u-v. It will be appreciated that if u-v is greater than M-1, the values can be cycled through according to the total number M of correlation function values, e.g., the u-v-M correlation function values can be considered as the u-v correlation function values.
In the process of determining the second correlation matrix, it needs to be determined according to the sizes of q and p and the correlation function values, and in the second correlation matrix determined by the above process, the element values of the p-th row and the q-th column where q is greater than or equal to p are the q-p-th correlation function values, it can be understood that if q-p is greater than M-1, values can be circularly taken according to the total number M of the correlation function values, for example, the q-p-M correlation function values can be taken as the q-p-th correlation function values. The value of the element in the p-th row and the q-th column, where q is smaller than p, is the conjugate value of the p-q correlation function value. It will be appreciated that if p-q is greater than M-1, the values can be cycled through according to the total number M of correlation function values, e.g., the p-q-M correlation function values can be taken as the p-q correlation function values. In this way, the determination of the first correlation matrix and the second correlation matrix using the M correlation function values may be achieved.
In one embodiment, determining S target phase noise values according to the common phase errors corresponding to the N OFDM signals, respectively, and the correlation matrix includes:
and dividing the second correlation matrix by a result matrix of the first correlation matrix, and multiplying the result matrix by a common phase error column vector to obtain a target phase noise column vector, wherein the common phase error column vector comprises common phase errors corresponding to the N OFDM signals respectively, and the target phase noise column vector comprises S target phase noise values.
In the process of determining the target phase noise value by using the correlation matrix, the second correlation matrix is divided by the result matrix of the first correlation matrix, and the result matrix is multiplied by the common phase error column vector, so that the target phase noise column vector can be obtained, wherein the target phase noise column vector is a vector formed by S target phase noise values, and the common phase error column vector is a vector formed by N common phase errors. Namely, the target phase noise is determined based on the minimum mean square error criterion, and the specific calculation formula is as follows:
Figure BDA0002222926440000121
Figure RE-GDA0002357159560000122
for the target phase noise column vector to be,
Figure RE-GDA0002357159560000123
for the common phase error column vector, W is the filter coefficient, i.e. the resulting matrix of the second correlation matrix divided by the first correlation matrix, C11Is a first correlation matrix, C12Is the second correlation matrix. Wherein the content of the first and second substances,
Figure RE-GDA0002357159560000124
wherein the content of the first and second substances,
Figure RE-GDA0002357159560000125
for T in the r-th OFDM symboldataPhase noise estimate at/2 position based on common phase error of the r-th OFDM symbol
Figure RE-GDA0002357159560000126
Is determined, i.e. is
Figure RE-GDA0002357159560000127
Wherein tr is (r-1) × (T)data+Tcp)+(Tdata/2+Tcp),r=1,2,...,N,
Figure RE-GDA0002357159560000128
S is N (T)data+Tcp)FS,
Figure RE-GDA0002357159560000129
Is the t-th target phase noise value.
In one embodiment, determining S target phase noise values according to a common phase error corresponding to each of the N OFDM signals and a phase difference between end data and cyclic prefix CP data in each of the N OFDM symbols includes:
acquiring data periods and prefix periods of N OFDM symbols;
and determining S target phase noise values according to the common phase error corresponding to the N OFDM signals, the phase difference between the tail data of each OFDM symbol in the N OFDM symbols and the CP data of the cyclic prefix, and the data period and the prefix period of the N OFDM symbols.
Each OFDM symbol has a corresponding data period and a prefix period, the data period of each OFDM symbol may be the same, the prefix period of each OFDM symbol may be the same, and the prefix period of an OFDM symbol is the period of CP data corresponding to the OFDM symbol, such as T in fig. 3cpThe data period of the OFDM symbol is the period of the OFDM symbol, such as T in FIG. 3data
After obtaining the data period and prefix period of the N OFDM symbols, S target phase noise values may be determined according to the common phase error corresponding to each of the N OFDM signals, the phase difference between the last data of each of the N OFDM symbols and the cyclic prefix CP data, and the data period and prefix period of the N OFDM symbols, where a specific calculation formula of the target phase noise value corresponding to the r-th OFDM symbol is as follows:
Figure BDA0002222926440000131
wherein the content of the first and second substances,
Figure BDA0002222926440000132
is the t-th target phase noise value, thetarIs the phase difference between the tail data and the cyclic prefix CP data in the r-th OFDM symbol, TdataIs a data period, TcpIn order to be the prefix period, the period of the prefix period,
Figure BDA0002222926440000133
for the r common phase error, T is taken to be [ (r-1) · (T) corresponding to the r OFDM symboldata+Tcp),r·(Tdata+Tcp)]Integer values in the time range, i.e.For the r-th OFDM symbol, the number of corresponding target phase noise values is the same as the number of integer values in the corresponding time range, the data period of each OFDM symbol is the same, and the prefix period of CP data corresponding to each OFDM symbol is the same. For example, for the 1 st OFDM symbol, i.e., u is 1, the time range is [0, Tdata+Tcp]If the integer values in the range include 0,1 and 2, the 1 st OFDM symbol has 3 target phase noise values, which are respectively
Figure BDA0002222926440000134
And
Figure BDA0002222926440000135
in this way, the target phase noise value in each OFDM symbol can be calculated, and the target phase noise value in each OFDM symbol in one frame of data can be calculated, so that S target phase noise values can be obtained, where t is an integer and can be 0,1, 2, … …, S-1.
In one example, a phase difference θ between end data and cyclic prefix CP data in an r-th OFDM symbolrThe end data in the r OFDM symbol is multiplied by the conjugate value of the CP data in the r OFDM symbol to obtain a multiplication result, and the phase value of the multiplication result is taken as the phase difference thetar
The process of the above phase compensation method is described in detail below with an embodiment.
In order to reduce the influence of phase noise on channel estimation and equalization, the phase compensation scheme provided by the application can improve the estimation precision of the phase noise and improve the system performance. Fig. 4 is a schematic block diagram of the phase compensation method of the present application.
Assume that there are N OFDM symbols in a frame of data received, wherein the time length of a single OFDM symbol is TdataThe cyclic prefix having a duration of Tcp. The system sampling frequency is FS, assuming PT-RS pilot symbols are inserted in each OFDM symbol. After receiving the first signal in the time domain, the first signal is subjected to CP removal and FFT conversion to obtain frequencyThe second signal in the domain, the pilot signal corresponding to each OFDM signal is extracted from the second signal to obtain the pilot signals corresponding to N OFDM signals respectively, and the common phase error of each OFDM signal is estimated based on the pilot signals corresponding to the N OFDM signals respectively
Figure BDA0002222926440000141
r 1, 2. Determining the above according to N common phase errors
Figure BDA0002222926440000142
Determining common phase error of OFDM signals
Figure BDA0002222926440000143
And feeding the signal back to the time domain phase noise estimation module to determine the target phase noise.
The target phase noise may be determined by combining the correlation matrix, specifically, the power spectrum of the phase noise may be obtained by pre-measurement in practice, that is, the preset power spectrum in the present application may be predetermined, and the M correlation function values may be determined according to a formula
Figure BDA0002222926440000144
And (4) determining. Based on the minimum mean square error criterion, the time domain phase noise is calculated to obtain a target phase noise value, and the specific formula is
Figure BDA0002222926440000145
The filter coefficient W is obtained based on the minimum mean square error criterion, and in practical application, the filter coefficient may also be obtained by linear interpolation or polynomial interpolation, so as to estimate the phase noise.
The target phase noise may also be determined in combination with the phase difference, and specifically, within each time domain OFDM symbol, the phase difference θ between the end of OFDM symbol data and the CP data may be calculatedrN, then in the r-th OFDM symbol, one can get
Figure BDA0002222926440000146
Wherein r is [ (r-1). (T)data+Tcp),r·(Tdata+Tcp)]An integer value within. Thus, the target phase noise value on each OFDM symbol in a frame of data can be calculated to obtain S target phase noise values, i.e.
Figure BDA0002222926440000147
t=0,1...,S-1。
After the target phase noise value is determined, the first signal may be phase compensated, i.e.
Figure BDA0002222926440000148
Wherein t is 0,1, S-1,
Figure BDA0002222926440000149
representing complex numbers with real part of 0 and imaginary part of value
Figure BDA00022229264400001410
And transmitting the signal subjected to the phase compensation to the next module, and then sequentially carrying out FFT (fast Fourier transform), equalization, channel estimation, decoding and other processing.
By the phase compensation scheme, the phase noise estimation precision can be improved, the complexity is low, not only a CPE part introduced by the phase noise can be estimated, but also an ICI part can be estimated, and therefore the performance of a receiver (such as the terminal or the network side equipment) is improved.
As shown in fig. 5, the present application further provides a terminal 500 of an embodiment, including:
a receiving module 501, configured to receive a first signal, where the first signal includes N orthogonal frequency division multiplexing OFDM symbols and pilot symbols corresponding to the N OFDM symbols, where N is an integer greater than 1;
a transform module 502, configured to perform fast fourier transform on the first signal to obtain a second signal, where the second signal includes N OFDM signals corresponding to the N OFDM symbols and pilot signals corresponding to the N OFDM signals, respectively;
an error determining module 503, configured to determine common phase errors corresponding to the N OFDM signals, based on pilot signals corresponding to the N OFDM signals, respectively;
a phase noise determining module 504, configured to determine S target phase noise values according to common phase errors corresponding to the N OFDM signals, where S is an integer greater than N;
and a compensation module 505, configured to perform phase compensation on the first signal according to the S target phase noise values to obtain a target signal.
In one embodiment, the phase noise determination module comprises:
a first determining module, configured to determine S target phase noise values according to common phase errors and a correlation matrix corresponding to the N OFDM signals, where the correlation matrix is a matrix determined according to a preset scattered power spectrum; or
And a second determining module, configured to determine S target phase noise values according to the common phase errors corresponding to the N OFDM signals, respectively, and a phase difference between tail data and cyclic prefix CP data in each of the N OFDM symbols.
In one embodiment, the correlation matrix comprises a first correlation matrix and a second correlation matrix;
wherein, the terminal further includes:
the function value determining module is used for determining M related function values according to a preset discrete power spectrum, the number of discrete points of the preset discrete power spectrum is M, and M is an integer larger than N;
a correlation matrix determining module, configured to determine the first correlation matrix and the second correlation matrix based on the M correlation function values, where a size of the first correlation matrix is N × N, and a size of the second correlation matrix is S × N.
In one embodiment, the function value determining module includes:
and the correlation function value determining module is used for summing the product of the power value of the discrete point in the preset discrete power spectrum and the Kth exponential function corresponding to the frequency of the discrete point to obtain the Kth correlation function value, wherein K is an integer and is more than or equal to 0 and less than or equal to M-1.
In one embodiment, the correlation matrix determination module includes:
a first matrix determining module, configured to determine a v-u correlation function value as an element value of a u-th row and a v-th column of the first correlation matrix, where u is greater than or equal to u, and v is greater than or equal to 1 and less than or equal to N; determining a conjugate value of the u-v th correlation function value as an element value of the u row and v column of the first correlation matrix in the case where v is less than u;
the second matrix determining module is used for determining the q-p correlation function values as the element values of the q-th row and the q-th column of the second correlation matrix under the condition that q is greater than or equal to p, wherein p is greater than or equal to 1 and less than or equal to S, and v is greater than or equal to 1 and less than or equal to N; and in the case that q is smaller than p, determining the conjugate value of the p-q th correlation function value as the element value of the p row and the q column of the second correlation matrix.
In an embodiment, the first determining module is configured to divide the second correlation matrix by a result matrix of the first correlation matrix, and multiply a common phase error column vector by the result matrix to obtain a target phase noise column vector, where the common phase error column vector includes common phase errors corresponding to the N OFDM signals, respectively, and the target phase noise column vector includes S target phase noise values.
In one embodiment, the second determining module includes:
a period obtaining module, configured to obtain data periods and prefix periods of the N OFDM symbols;
a noise value determining module, configured to determine the S target phase noise values according to common phase errors corresponding to the N OFDM signals, a phase difference between tail data and cyclic prefix CP data of each of the N OFDM symbols, and data periods and prefix periods of the N OFDM symbols.
The terminal 500 in the above embodiments is a terminal capable of implementing the phase compensation method in the above embodiments, and its technical features correspond to those of the phase compensation method in the above embodiments one to one, and are not described herein again.
As shown in fig. 6, the present application further provides a terminal of an embodiment, including: a transceiver 610, a memory 620, a processor 600, and a program stored on the memory 620 and operable on the processor 600;
a transceiver 610, configured to receive a first signal, where the first signal includes N orthogonal frequency division multiplexing OFDM symbols and pilot symbols corresponding to the N OFDM symbols, where N is an integer greater than 1;
the processor 600, when executing the above program, implements the following steps:
performing fast Fourier transform on the first signal to obtain a second signal, wherein the second signal comprises N OFDM signals corresponding to N OFDM symbols and pilot signals corresponding to the N OFDM signals respectively;
determining common phase errors corresponding to the N OFDM signals respectively based on pilot signals corresponding to the N OFDM signals respectively;
determining S target phase noise values according to the public phase errors corresponding to the N OFDM signals respectively, wherein S is an integer larger than N; and performing phase compensation on the first signal according to the S target phase noise values to obtain a target signal.
In one embodiment, determining S target phase noise values according to common phase errors corresponding to the N OFDM signals respectively includes:
determining S target phase noise values according to public phase errors corresponding to the N OFDM signals and a correlation matrix, wherein the correlation matrix is determined according to a preset discrete power spectrum; or
And determining S target phase noise values according to the common phase errors respectively corresponding to the N OFDM signals and the phase difference between the tail data and the cyclic prefix CP data in each OFDM symbol in the N OFDM symbols.
In one embodiment, the correlation matrix comprises a first correlation matrix and a second correlation matrix, wherein the first correlation matrix and the second correlation matrix are determined by:
determining M correlation function values according to a preset discrete power spectrum, wherein the number of discrete points of the preset discrete power spectrum is M, and M is an integer larger than N;
and determining a first correlation matrix and a second correlation matrix based on the M correlation function values, wherein the size of the first correlation matrix is N x N, and the size of the second correlation matrix is S x N.
In one embodiment, determining M correlation function values from a preset discrete power spectrum includes:
and summing the product of the power value of the discrete point in the preset discrete power spectrum and the Kth exponential function corresponding to the frequency of the discrete point to obtain the Kth related function value, wherein K is an integer and is more than or equal to 0 and less than or equal to M-1.
In one embodiment, determining the first correlation matrix and the second correlation matrix based on the M correlation function values comprises:
determining the v-u correlation function values as the element values of the u row and the v column of the first correlation matrix under the condition that v is greater than or equal to u, wherein u is greater than or equal to 1 and less than or equal to N, and v is greater than or equal to 1 and less than or equal to N;
determining the conjugate value of the u-v correlation function value as the element value of the u row and the v column of the first correlation matrix if v is less than u;
determining the q-p correlation function values as the element values of the p row and the q column of the second correlation matrix under the condition that q is greater than or equal to p, wherein p is greater than or equal to 1 and less than or equal to S, and v is greater than or equal to 1 and less than or equal to N;
in the case where q is smaller than p, the conjugate value of the p-q th correlation function value is determined as the element value of the p-th row and q-th column of the second correlation matrix.
In one embodiment, determining S target phase noise values according to the common phase errors corresponding to the N OFDM signals, respectively, and the correlation matrix includes:
and dividing the second correlation matrix by a result matrix of the first correlation matrix, and multiplying the result matrix by a common phase error column vector to obtain a target phase noise column vector, wherein the common phase error column vector comprises common phase errors corresponding to the N OFDM signals respectively, and the target phase noise column vector comprises S target phase noise values.
In one embodiment, determining S target phase noise values according to a common phase error corresponding to each of the N OFDM signals and a phase difference between end data and cyclic prefix CP data in each of the N OFDM symbols includes:
acquiring data periods and prefix periods of N OFDM symbols;
and determining S target phase noise values according to the common phase error corresponding to the N OFDM signals, the phase difference between the tail data of each OFDM symbol in the N OFDM symbols and the CP data of the cyclic prefix, and the data period and the prefix period of the N OFDM symbols.
The technical features of the terminal including the transceiver in the embodiments correspond to those of the phase compensation method in the embodiments one to one, and are not described herein again.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the steps in the phase compensation method provided by the embodiment of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be physically included alone, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute some steps of the method for processing the information data block according to various embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (19)

1. A method of phase compensation, the method comprising:
receiving a first signal, where the first signal includes N Orthogonal Frequency Division Multiplexing (OFDM) symbols and pilot symbols corresponding to the N OFDM symbols, and N is an integer greater than 1;
performing fast fourier transform on the first signal to obtain a second signal, where the second signal includes N OFDM signals corresponding to the N OFDM symbols and pilot signals corresponding to the N OFDM signals, respectively;
determining common phase errors corresponding to the N OFDM signals respectively based on pilot signals corresponding to the N OFDM signals respectively;
determining S target phase noise values according to the public phase errors corresponding to the N OFDM signals respectively, wherein S is an integer larger than N;
and performing phase compensation on the first signal according to the S target phase noise values to obtain a target signal.
2. The method according to claim 1, wherein said determining S target phase noise values according to the common phase errors respectively corresponding to the N OFDM signals comprises:
determining S target phase noise values according to the public phase errors corresponding to the N OFDM signals and a correlation matrix, wherein the correlation matrix is determined according to a preset discrete power spectrum; or
And determining S target phase noise values according to the public phase errors respectively corresponding to the N OFDM signals and the phase difference between the tail data and the cyclic prefix CP data in each OFDM symbol in the N OFDM symbols.
3. The method of claim 2, wherein the correlation matrix comprises a first correlation matrix and a second correlation matrix, wherein the first correlation matrix and the second correlation matrix are determined by:
determining M correlation function values according to a preset discrete power spectrum, wherein the number of discrete points of the preset discrete power spectrum is M, and M is an integer larger than N;
and determining the first correlation matrix and the second correlation matrix based on the M correlation function values, wherein the size of the first correlation matrix is N x N, and the size of the second correlation matrix is S x N.
4. The method of claim 3, wherein said determining M correlation function values from a preset discrete power spectrum comprises:
and summing the product of the power value of the discrete point in the preset discrete power spectrum and the Kth exponential function corresponding to the frequency of the discrete point to obtain the Kth related function value, wherein K is an integer and is more than or equal to 0 and less than or equal to M-1.
5. The method of claim 4, wherein said determining the first and second correlation matrices based on the M correlation function values comprises:
determining the (v-u) th correlation function value as the element value of the (u) th row and (v) th column of the first correlation matrix under the condition that v is greater than or equal to u, wherein u is greater than or equal to 1 and less than or equal to N, and v is greater than or equal to 1 and less than or equal to N;
determining a conjugate value of the u-v th correlation function value as an element value of the u row and the v column of the first correlation matrix in the case where v is smaller than u;
determining the q-p correlation function values as the element values of the p row and the q column of the second correlation matrix under the condition that q is greater than or equal to p, wherein p is greater than or equal to 1 and less than or equal to S, and v is greater than or equal to 1 and less than or equal to N;
and in the case that q is smaller than p, determining the conjugate value of the p-q correlation function value as the element value of the p row and q column of the second correlation matrix.
6. The method according to claim 3, wherein determining S target phase noise values according to the common phase errors respectively corresponding to the N OFDM signals and the correlation matrix comprises:
and dividing the second correlation matrix by a result matrix of the first correlation matrix, and multiplying the result matrix by a common phase error column vector to obtain a target phase noise column vector, wherein the common phase error column vector comprises common phase errors respectively corresponding to the N OFDM signals, and the target phase noise column vector comprises S target phase noise values.
7. The method of claim 2, wherein the determining S target phase noise values according to the common phase error corresponding to the N OFDM signals respectively and the phase difference between the tail data and the Cyclic Prefix (CP) data in each of the N OFDM symbols comprises:
acquiring data periods and prefix periods of the N OFDM symbols;
and determining the S target phase noise values according to the common phase errors corresponding to the N OFDM signals, the phase difference between the tail data and the Cyclic Prefix (CP) data of each OFDM symbol in the N OFDM symbols, and the data periods and prefix periods of the N OFDM symbols.
8. A terminal, comprising:
a receiving module, configured to receive a first signal, where the first signal includes N Orthogonal Frequency Division Multiplexing (OFDM) symbols and pilot symbols corresponding to the N OFDM symbols, and N is an integer greater than 1;
a transform module, configured to perform fast fourier transform on the first signal to obtain a second signal, where the second signal includes N OFDM signals corresponding to the N OFDM symbols and pilot signals corresponding to the N OFDM signals, respectively;
an error determining module, configured to determine, based on pilot signals corresponding to the N OFDM signals, common phase errors corresponding to the N OFDM signals, respectively;
a phase noise determining module, configured to determine S target phase noise values according to common phase errors corresponding to the N OFDM signals, where S is an integer greater than N;
and the compensation module is used for carrying out phase compensation on the first signal according to the S target phase noise values to obtain a target signal.
9. The terminal of claim 8, wherein the phase noise determination module comprises:
a first determining module, configured to determine S target phase noise values according to common phase errors and a correlation matrix corresponding to the N OFDM signals, where the correlation matrix is a matrix determined according to a preset discrete power spectrum; or
And a second determining module, configured to determine S target phase noise values according to the common phase errors corresponding to the N OFDM signals, respectively, and a phase difference between tail data and cyclic prefix CP data in each of the N OFDM symbols.
10. The terminal of claim 9, wherein the correlation matrix comprises a first correlation matrix and a second correlation matrix;
wherein, the terminal further includes:
the function value determining module is used for determining M related function values according to a preset discrete power spectrum, the number of discrete points of the preset discrete power spectrum is M, and M is an integer larger than N;
a correlation matrix determination module, configured to determine the first correlation matrix and the second correlation matrix based on the M correlation function values, where a size of the first correlation matrix is N × N, and a size of the second correlation matrix is S × N.
11. The terminal of claim 10, wherein the function value determining module comprises:
and the correlation function value determining module is used for summing the product of the power value of the discrete point in the preset discrete power spectrum and the Kth exponential function corresponding to the frequency of the discrete point to obtain the Kth correlation function value, wherein K is an integer and is more than or equal to 0 and less than or equal to M-1.
12. A terminal, comprising: a transceiver, a memory, a processor, and a program stored on the memory and executable on the processor,
the transceiver is configured to receive a first signal, where the first signal includes N Orthogonal Frequency Division Multiplexing (OFDM) symbols and pilot symbols corresponding to the N OFDM symbols, and N is an integer greater than 1;
the processor, when executing the program, implements the steps of:
performing fast fourier transform on the first signal to obtain a second signal, where the second signal includes N OFDM signals corresponding to the N OFDM symbols and pilot signals corresponding to the N OFDM signals, respectively;
determining common phase errors corresponding to the N OFDM signals respectively based on pilot signals corresponding to the N OFDM signals respectively;
determining S target phase noise values according to the public phase errors corresponding to the N OFDM signals respectively, wherein S is an integer larger than N; and performing phase compensation on the first signal according to the S target phase noise values to obtain a target signal.
13. The terminal of claim 12, wherein the determining S target phase noise values according to the common phase errors corresponding to the N OFDM signals respectively comprises:
determining S target phase noise values according to the public phase errors corresponding to the N OFDM signals and a correlation matrix, wherein the correlation matrix is determined according to a preset discrete power spectrum; or
And determining S target phase noise values according to the public phase errors respectively corresponding to the N OFDM signals and the phase difference between the tail data and the cyclic prefix CP data in each OFDM symbol in the N OFDM symbols.
14. The terminal of claim 13, wherein the correlation matrix comprises a first correlation matrix and a second correlation matrix, and wherein the first correlation matrix and the second correlation matrix are determined by:
determining M correlation function values according to a preset discrete power spectrum, wherein the number of discrete points of the preset discrete power spectrum is M, and M is an integer larger than N;
and determining the first correlation matrix and the second correlation matrix based on the M correlation function values, wherein the size of the first correlation matrix is N x N, and the size of the second correlation matrix is S x N.
15. The terminal according to claim 14, wherein said determining M correlation function values from a preset discrete power spectrum comprises:
and summing the product of the power value of the discrete point in the preset discrete power spectrum and the Kth exponential function corresponding to the frequency of the discrete point to obtain the Kth related function value, wherein K is an integer and is more than or equal to 0 and less than or equal to M-1.
16. The terminal of claim 15, wherein said determining the first correlation matrix and the second correlation matrix based on the M correlation function values comprises:
determining the (v-u) th correlation function value as the element value of the (u) th row and (v) th column of the first correlation matrix under the condition that v is greater than or equal to u, wherein u is greater than or equal to 1 and less than or equal to N, and v is greater than or equal to 1 and less than or equal to N;
determining a conjugate value of the u-v th correlation function value as an element value of the u row and the v column of the first correlation matrix in the case where v is smaller than u;
determining the q-p correlation function values as the element values of the p row and the q column of the second correlation matrix under the condition that q is greater than or equal to p, wherein p is greater than or equal to 1 and less than or equal to S, and v is greater than or equal to 1 and less than or equal to N;
and in the case that q is smaller than p, determining the conjugate value of the p-q correlation function value as the element value of the p row and q column of the second correlation matrix.
17. The terminal of claim 14, wherein the determining S target phase noise values according to the common phase errors respectively corresponding to the N OFDM signals and the correlation matrix comprises:
and dividing the second correlation matrix by a result matrix of the first correlation matrix, and multiplying the result matrix by a common phase error column vector to obtain a target phase noise column vector, wherein the common phase error column vector comprises common phase errors respectively corresponding to the N OFDM signals, and the target phase noise column vector comprises S target phase noise values.
18. The terminal of claim 13, wherein the determining S target phase noise values according to the common phase error respectively corresponding to the N OFDM signals and the phase difference between the tail data and the CP data in each of the N OFDM symbols comprises:
acquiring data periods and prefix periods of the N OFDM symbols;
and determining the S target phase noise values according to the common phase errors corresponding to the N OFDM signals, the phase difference between the tail data and the Cyclic Prefix (CP) data of each OFDM symbol in the N OFDM symbols, and the data periods and prefix periods of the N OFDM symbols.
19. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, carries out the steps of the phase compensation method according to one of claims 1 to 7.
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