CN111600626A - Signal-to-noise ratio estimation method and device, electronic equipment and storage medium - Google Patents
Signal-to-noise ratio estimation method and device, electronic equipment and storage medium Download PDFInfo
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- CN111600626A CN111600626A CN202010403357.XA CN202010403357A CN111600626A CN 111600626 A CN111600626 A CN 111600626A CN 202010403357 A CN202010403357 A CN 202010403357A CN 111600626 A CN111600626 A CN 111600626A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
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- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
Abstract
The embodiment of the invention discloses a signal-to-noise ratio estimation method, a signal-to-noise ratio estimation device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a spread spectrum complex signal received by a receiver, wherein the spread spectrum complex signal is a constant amplitude signal; carrying out despreading processing on the spread spectrum complex signal to obtain a despreading signal corresponding to the spread spectrum complex signal; the spread spectrum complex signal and the de-spread spectrum signal are sampling signals and respectively comprise a plurality of sampling point signals; determining useful signal power matched with the despread signals according to signal amplitude information of sampling point signals in the despread signals; and estimating the signal-to-noise ratio of the spread spectrum complex signal according to the total power of the spread spectrum complex signal and the useful signal power. The method can reduce the operation complexity of the signal-to-noise ratio estimation.
Description
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to a signal-to-noise ratio estimation method, a signal-to-noise ratio estimation device, electronic equipment and a storage medium.
Background
Spread spectrum is a communication technique that spreads the spectrum of a transmission signal to a wider bandwidth than its original bandwidth, and spread spectrum communication is often used for military communication or internet of things communication. In a military communication system or an internet of things communication system, base stations need to be selectively scheduled according to spread spectrum signal strength. Generally, the Signal strength is represented by a Signal-to-Noise Ratio (SNR) value, that is, in a military communication system or an internet of things communication system, the SNR value needs to be estimated, and base station selection scheduling is performed according to the SNR value.
In the prior art, the SNR estimation method is to perform an operation by using fourier transform from a frequency domain perspective, or to perform a maximum likelihood estimation method, an autocorrelation matrix singular decomposition method, and a second-order fourth-order moment estimation method from a time domain perspective. The calculation process of the estimation method is very complex, so that the complexity of a communication system is increased, the power consumption of the communication system is increased, and inconvenience is brought to the selection scheduling of the base station.
Disclosure of Invention
The embodiment of the invention provides a signal-to-noise ratio estimation method, a signal-to-noise ratio estimation device, electronic equipment and a storage medium, which can reduce the operation complexity of signal-to-noise ratio estimation.
In a first aspect, an embodiment of the present invention provides a signal-to-noise ratio estimation method, where the method includes:
acquiring a spread spectrum complex signal received by a receiver, wherein the spread spectrum complex signal is a constant amplitude signal;
de-spreading the spread spectrum complex signal to obtain a de-spread signal corresponding to the spread spectrum complex signal;
the spread spectrum complex signal and the despread signal are sampling signals and respectively comprise a plurality of sampling point signals;
determining useful signal power matched with the despread signal according to signal amplitude information of a sampling point signal in the despread signal;
and estimating the signal-to-noise ratio of the spread spectrum complex signal according to the total power of the spread spectrum complex signal and the useful signal power.
In a second aspect, an embodiment of the present invention further provides an apparatus for estimating a signal-to-noise ratio, where the apparatus includes:
the spread spectrum complex signal acquisition module is used for acquiring a spread spectrum complex signal received by a receiver, wherein the spread spectrum complex signal is a constant amplitude signal;
a despreading processing module, configured to despread the spread spectrum complex signal to obtain a despread signal corresponding to the spread spectrum complex signal;
the spread spectrum complex signal and the despread signal are sampling signals and respectively comprise a plurality of sampling point signals;
a useful signal power determining module, configured to determine, according to signal amplitude information of a sampling point signal in the despread signal, a useful signal power matched with the despread signal;
and the signal-to-noise ratio estimation module is used for estimating the signal-to-noise ratio of the spread spectrum complex signal according to the total power of the spread spectrum complex signal and the useful signal power.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of signal-to-noise ratio estimation as described in any embodiment of the invention.
In a fourth aspect, 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 a signal-to-noise ratio estimation method according to any embodiment of the present invention.
The technical scheme of the embodiment of the invention obtains the spread spectrum complex signal received by the receiver; carrying out despreading processing on the spread spectrum complex signal to obtain a despreading signal corresponding to the spread spectrum complex signal; determining useful signal power matched with the despread signals according to signal amplitude information of sampling point signals in the despread signals; the signal-to-noise ratio of the spread spectrum complex signal is estimated according to the total power of the spread spectrum complex signal and the power of the useful signal, a new mode for estimating the signal-to-noise ratio is provided, the problem of SNR estimation in the existing military communication system or the communication system of the Internet of things is solved, and the effect of reducing the operation complexity of SNR estimation is achieved.
Drawings
Fig. 1 is a flowchart of a signal-to-noise ratio estimation method according to an embodiment of the present invention;
fig. 2 is a flowchart of a signal-to-noise ratio estimation method according to a second embodiment of the present invention;
fig. 3 is a flowchart of a signal-to-noise ratio estimation method according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of an snr estimation apparatus according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a signal-to-noise ratio estimation method provided in an embodiment of the present invention, where the embodiment is applicable to a case of estimating an SNR from a time domain perspective in a military communication system or an internet of things communication system and performing base station selection scheduling, the method may be executed by a signal-to-noise ratio estimation apparatus, the apparatus may be implemented in a software and/or hardware manner, and the apparatus may be integrated in a terminal device or a base station, as shown in fig. 1, the method specifically includes:
The spread spectrum complex signal is a sampled signal received by the receiver and modulated by spread spectrum, and may include a plurality of sampling point signals. The spread spectrum modulation may be a modulation scheme such as linear spread spectrum, frequency hopping spread spectrum, or direct sequence spread spectrum, or a combined modulation scheme of the above modulation schemes.
The spread spectrum complex signal may be a signal that has passed through a white gaussian noise channel. The spread spectrum complex signal may be a constant amplitude signal. The spread-spectrum complex signal may be a complete sequence of signals received by the receiver. The spread spectrum complex signal may be a signal acquired by a communication device.
Illustratively, in the embodiment of the present invention, the expression of the fully corrected time-shifted and frequency-shifted linear (chirp) spread spectrum complex signal may be
Wherein n is 0,1,2, … 2sf-1Is a sample point, θ ∈ [0,1 ]]And sf is the spreading order.
And 120, performing despreading processing on the spread spectrum complex signal to obtain a despread signal corresponding to the spread spectrum complex signal.
Here, the despreading process may be signal despreading performed according to a spread spectrum modulation scheme of the spread spectrum complex signal. The despreading process can be applied in different ways for different spread spectrum signal types and modulation schemes. The purpose of the despreading process is to remove the frequency component, or phase component, of the spread complex signal from the resulting despread signal, the modulus of the mean of the despread signal being the amplitude of the desired signal. The despread signal is a sampled signal and includes a plurality of sampling point signals. Exemplary, spread spectrum complex signals with chirp
The corresponding despread signal may be
In an implementation manner of the embodiment of the present invention, optionally, performing despreading processing on the spread spectrum complex signal to obtain a despread signal corresponding to the spread spectrum complex signal includes: acquiring a conjugate signal of a local spread spectrum signal adopted by spread spectrum; and carrying out despreading processing on the spread spectrum complex signal according to the conjugate signal to obtain a despread signal corresponding to the spread spectrum complex signal.
The local spread spectrum signal adopted by the spread spectrum is a signal adopted when the spread spectrum complex signal received by the receiver is subjected to spread spectrum modulation before being received. The spread spectrum modulation may be a modulation scheme such as linear spread spectrum, frequency hopping spread spectrum, or direct sequence spread spectrum, or a combined modulation scheme of the above modulation schemes. The despreading processing on the spread spectrum complex signal can be to acquire a local spread spectrum signal adopted by spread spectrum, determine a conjugate signal of the local spread spectrum signal, and remove a frequency component or a phase component in the spread spectrum complex signal according to the conjugate signal to obtain a corresponding despread signal. For example, when the spread spectrum modulation is linear spread spectrum, a despread signal obtained by despreading the spread spectrum complex signal is a dot product of the spread spectrum complex signal and a conjugate signal of a local spread spectrum signal used for linear spread spectrum; when the spread spectrum modulation is frequency hopping spread spectrum, a despread signal obtained by despreading processing of a spread spectrum complex signal is a dot product of the spread spectrum complex signal and a conjugate signal of a local frequency hopping signal corresponding to a hopping frequency; when the spread spectrum modulation is direct sequence spread spectrum, a despread signal obtained by despreading the spread spectrum complex signal is a dot product of the spread spectrum complex signal and a conjugate signal of a product of the pseudo noise sequence and the local carrier signal.
Illustratively, the spread spectrum complex signal is generated by linear spreading, and the expression of the linear spread spectrum signal is u (t) ═ exp (j2 pi (f)0t+kt2/2))，f0The initial carrier frequency is set to 0, k is the bandwidth B of the signalwAnd TsThe slope of the change in frequency is determined,
the linear spread spectrum signal with discrete time domain is expressed as
Wherein, Ts＝2sf·T，TsFor sampling duration, T is sampling interval time, B is sweep frequency bandwidth, and the linear spread spectrum signal expression of time domain dispersion can be simplified into
Can be considered as a local spread spectrum signal when linear spread spectrum is used for spreading, the conjugate signal of which is
The despread signal corresponding to the spread complex signal may be r (n) ═ s (n) · u (n)*。
The spread spectrum complex signal is a constant amplitude signal, the amplitude information of the useful signal can be obtained according to the signal amplitude information of the sampling point signal in the despread signal, and the power of the useful signal can be determined according to the amplitude information of the useful signal.
In an implementation manner of the embodiment of the present invention, optionally, determining the useful signal power matched with the despread signal according to the signal amplitude information of the sampling point signal in the despread signal includes: determining an average value of sampling point signals in the de-spread signals; and taking the square value of the mean value module of the sampling point signal as the useful signal power.
In the embodiment of the present invention, for example, the spread spectrum complex signal may be a signal passing through a white gaussian noise channel,
the mean value of the sample point signals in the despread signal R (n) is
A1Modulo | A of1I can be determined as amplitude information of the useful signal, A1Square value of the modulus | A1|2Can be determined as the useful signal power.
Wherein, the total power of the spread spectrum complex signal may be an average value of square values of sampling point signal modes in the spread spectrum complex signal, that is, for the spread spectrum complex signal s (n), the total power thereof may be
The signal-to-noise ratio may be the useful signal powerRatio of rate to noise power, wherein noise power may be the difference between total power and useful signal power. That is, for a spread spectrum complex signal S (n) whose despread signal is R (n), the estimated signal-to-noise ratio of S (n) may be
In the embodiment of the present invention, after estimating the signal-to-noise ratio of the spread spectrum complex signal according to the total power of the spread spectrum complex signal and the power of the useful signal, the method may further include: and if the signal-to-noise ratio is smaller than the preset signal-to-noise ratio threshold value, adjusting the communication system matched with the spread spectrum complex signal.
If the signal-to-noise ratio corresponding to the estimated spread spectrum complex signal is smaller than the preset signal-to-noise ratio threshold value, the communication requirement cannot be met, and the communication system matched with the spread spectrum complex signal can be adjusted. For example, instructing the user corresponding to the spread spectrum complex signal to reselect the base station, and improving the signal-to-noise ratio corresponding to the spread spectrum complex signal to improve the signal quality; or, instruct the user corresponding to the spread spectrum complex signal to adjust the transmission power, for example, increase the transmission power, so as to improve the signal-to-noise ratio and improve the communication quality.
In the embodiment of the present invention, after estimating the signal-to-noise ratio of the spread spectrum complex signal according to the total power of the spread spectrum complex signal and the power of the useful signal, the method may further include: estimating signal-to-noise ratios corresponding to at least two spread spectrum complex signals; and determining the signal-to-noise ratio of the spread spectrum according to each signal-to-noise ratio.
The estimated signal-to-noise ratio of the spread spectrum complex signal can be used as the signal-to-noise ratio of the spread spectrum modulation mode. The signal-to-noise ratios corresponding to a plurality of complete spread spectrum complex signals in the same spread spectrum modulation mode can also be estimated, and the signal-to-noise ratio in the spread spectrum modulation mode in the communication system can be determined according to each signal-to-noise ratio. The snr under the spread spectrum modulation scheme in the communication system may be determined in various forms, for example, an average value of the snrs, or an average value of the snrs remaining after the maximum value and the minimum value are removed, or a median value of the snrs, etc. The signal-to-noise ratio accuracy of the spreading can be made higher.
The technical scheme of the embodiment comprises the steps of acquiring a spread spectrum complex signal received by a receiver; carrying out despreading processing on the spread spectrum complex signal to obtain a despreading signal corresponding to the spread spectrum complex signal; determining useful signal power matched with the despread signals according to signal amplitude information of sampling point signals in the despread signals; the signal-to-noise ratio of the spread spectrum complex signal is estimated according to the total power of the spread spectrum complex signal and the power of the useful signal, a new mode for estimating the signal-to-noise ratio is provided, the estimation problem of the SNR in a military communication system or an Internet of things communication system is solved, the SNR is estimated from the time domain angle, the operation complexity of the SNR estimation is reduced, the complexity of the communication system is reduced, and the power consumption of the communication system is reduced.
Example two
Fig. 2 is a flowchart of a signal-to-noise ratio estimation method provided in a second embodiment of the present invention, which is a further refinement of the foregoing technical solution, and the technical solution in this embodiment may be combined with various alternatives in one or more of the foregoing embodiments. As shown in fig. 2, the method includes:
step 210, obtaining a spread spectrum complex signal received by the receiver, where the spread spectrum complex signal is a constant amplitude signal.
And 240, acquiring a compensation item of the useful signal power according to the incidence relation between the spread spectrum complex signal and the local spread spectrum signal adopted by the spread spectrum.
The correlation between the spread spectrum complex signal and the local spread spectrum signal used for spread spectrum may be a preset number relationship or a preset operation relationship. The compensation term for the power of the useful signal can be determined from the correlation. For example, when the spread spectrum complex signal is obtained by adopting different spread spectrum modulation modes through experimental observation, the signal-to-noise ratio obtained by the signal-to-noise ratio estimation method provided by the embodiment of the invention is obtained by a traditional methodThe difference between the resulting signal-to-noise ratios. And determining the quantity relation between the spread spectrum complex signal and the local spread spectrum signal adopted by the spread spectrum according to the difference. Illustratively, when the spread-spectrum complex signal is obtained by linear spreading, the number relationship between the spread-spectrum complex signal and the local spread-spectrum signal employed for spreading is
The compensation term for the power of the useful signal being determined as the total power
In order to obtain a more accurate compensation term and make the estimation of the signal-to-noise ratio more accurate, in an implementation manner of the embodiment of the present invention, optionally, obtaining the compensation term of the useful signal power according to the correlation between the spread spectrum complex signal and the local spread spectrum signal used in the spread spectrum, includes: acquiring a cyclic left shift signal and a cyclic right shift signal of the spread spectrum complex signal; respectively carrying out correlation operation on the cyclic left shift signal and the cyclic right shift signal and a local spread spectrum signal adopted by spread spectrum; and determining a compensation term of the useful signal power according to the signal amplitude information in the correlation operation result.
The left-shift-by-one-bit cyclic shift refers to performing left-shift on a sampling point signal in the spread spectrum complex signal, wherein the number of shift bits is one. For example, for spread spectrum complex signals S (1), S (2), … S (n), the cyclic left shift signal may be S (2), S (3), … S (n), S (1). Similarly, cyclically shifting the signal by one bit means cyclically shifting the sampling point signal in the spread spectrum complex signal by one bit. For example, for spread spectrum complex signals S (1), S (2), … S (n), the cyclic right shift signal may be S (n), S (1), S (2), … S (n-1).
The correlation between the spread spectrum complex signal and the local spread spectrum signal used for spreading may be an operation, such as a correlation between a cyclic left-shifted signal and a cyclic right-shifted signal of the spread spectrum complex signal and the local spread spectrum signal used for spreading, respectively. Wherein the correlation operation may be a cross-correlation operation. The modulus of the result of the correlation operation may be determined to be the signal amplitude information in the correlation operation result. The squared value of the resulting modulus of the correlation operation can be determined as a compensation term for the useful signal power.
And step 250, estimating the signal-to-noise ratio of the spread spectrum complex signal according to the total power, the useful signal power and the compensation term.
The actual useful signal power can be determined by the sum of the compensation term corresponding to the cyclic left shift signal, the compensation term corresponding to the cyclic right shift signal, and the useful signal power. And estimating the signal-to-noise ratio of the spread spectrum complex signal according to the actual useful signal power and the total power.
Step 270, if the signal-to-noise ratio of the spread spectrum is smaller than the preset signal-to-noise ratio threshold, adjusting the communication system matched with the signal-to-noise ratio of the spread spectrum.
The technical scheme of the embodiment of the invention obtains the spread spectrum complex signal received by the receiver; acquiring a conjugate signal of a local spread spectrum signal adopted by spread spectrum; carrying out despreading processing on the spread spectrum complex signal according to the conjugate signal to obtain a despread signal corresponding to the spread spectrum complex signal; determining an average value of sampling point signals in the de-spread signals; taking the square value of the mean value module of the sampling point signal as useful signal power; obtaining a compensation item of useful signal power according to the incidence relation between the spread spectrum complex signal and a local spread spectrum signal adopted by spread spectrum; estimating the signal-to-noise ratio of the spread spectrum complex signal according to the total power, the useful signal power and the compensation term; estimating signal-to-noise ratios corresponding to at least two spread spectrum complex signals; determining the signal-to-noise ratio of spread spectrum according to each signal-to-noise ratio; if the signal-to-noise ratio of the spread spectrum is smaller than the preset signal-to-noise ratio threshold value, the communication system matched with the signal-to-noise ratio of the spread spectrum is adjusted, a new mode for estimating the signal-to-noise ratio is provided, the problem of SNR estimation in a military communication system or an Internet of things communication system is solved, and the effects of low complexity and high precision of SNR estimation operation are achieved.
Fig. 3 is a flowchart of a signal-to-noise ratio estimation method according to a second embodiment of the present invention, and as shown in fig. 3, a use process according to the second embodiment of the present invention may be: sampling point signals in the spread spectrum complex signals S (1), S (2), … S (n) of the complete sequence received by the receiver are subjected to modulus operation, then square values are calculated, and the square values of all the moduli are summed to obtain the total energy. The total power is determined by the ratio of the total energy to the number of sample signals. The despread signals R (1), R (2), … R (n) are determined by dot multiplication of the spread complex signal S (1), S (2), … S (n) with the conjugate of the local spread signal used for spreading. And after averaging the despread signals, taking a module, calculating a square value and determining the square value as the useful signal power. And taking the ratio of the sum of the useful signal power, the total power and the difference value of the useful signal power as the signal-to-noise ratio estimated theoretically. The sum of the useful signal power and the compensation term is determined as the actual useful signal power. And taking the ratio of the sum of the actual useful signal power, the total power and the difference value of the actual useful signal power as the actually estimated signal-to-noise ratio. Where the actual estimated signal-to-noise ratio is more accurate than the theoretical estimated signal-to-noise ratio. The compensation term can be a proportion of total power, and can also be determined according to the correlation operation between the cyclic left shift signal and the cyclic right shift signal of the spread spectrum complex signal and the local spread spectrum signal adopted by spread spectrum.
EXAMPLE III
Fig. 4 is a schematic structural diagram of an snr estimation apparatus according to a third embodiment of the present invention. With reference to fig. 4, the apparatus comprises: a spread spectrum complex signal acquisition module 310, a despreading processing module 320, a desired signal power determination module 330, and a signal-to-noise ratio estimation module 340.
The spread spectrum complex signal acquisition module 310 is configured to acquire a spread spectrum complex signal received by a receiver, where the spread spectrum complex signal is a constant amplitude signal;
a despreading processing module 320, configured to perform despreading processing on the spread spectrum complex signal to obtain a despread signal corresponding to the spread spectrum complex signal;
the spread spectrum complex signal and the de-spread spectrum signal are sampling signals and respectively comprise a plurality of sampling point signals;
a useful signal power determining module 330, configured to determine a useful signal power matched with the despread signal according to signal amplitude information of a sampling point signal in the despread signal;
the snr estimation module 340 is configured to estimate an snr of the spread spectrum complex signal according to the total power of the spread spectrum complex signal and the power of the useful signal.
Optionally, the apparatus further includes:
and the adjusting module is used for adjusting the communication system matched with the spread spectrum complex signal if the signal-to-noise ratio is smaller than a preset signal-to-noise ratio threshold value after estimating the signal-to-noise ratio of the spread spectrum complex signal according to the total power of the spread spectrum complex signal and the useful signal power.
Optionally, the snr estimation module 340 includes:
the compensation item acquisition unit is used for acquiring a compensation item of useful signal power according to the incidence relation between the spread spectrum complex signal and a local spread spectrum signal adopted by spread spectrum;
and the signal-to-noise ratio estimation unit is used for estimating the signal-to-noise ratio of the spread spectrum complex signal according to the total power, the useful signal power and the compensation term.
Optionally, the compensation term obtaining unit includes:
the signal acquisition subunit is used for acquiring a cyclic left shift signal and a cyclic right shift signal of the spread spectrum complex signal;
a correlation operation performing subunit, configured to perform correlation operation on the cyclic left shift signal and the cyclic right shift signal with a local spread spectrum signal used for spread spectrum respectively;
and the compensation term determining subunit is used for determining a compensation term of the useful signal power according to the signal amplitude information in the correlation operation result.
Optionally, the despreading processing module 320 includes:
a conjugate signal acquisition unit for acquiring a conjugate signal of a local spread spectrum signal used for spread spectrum;
and the de-spread signal acquisition unit is used for de-spreading the spread spectrum complex signal according to the conjugate signal to obtain a de-spread signal corresponding to the spread spectrum complex signal.
Optionally, the useful signal power determining module 330 includes:
an average value determining unit for determining an average value of the sampling point signals in the despread signal;
and the useful signal power determining unit is used for taking the square value of the mean value module of the sampling point signal as the useful signal power.
Optionally, the apparatus further includes:
the multi-signal-to-noise ratio estimation module is used for estimating the signal-to-noise ratio of the spread spectrum complex signals according to the total power of the spread spectrum complex signals and the useful signal power, and then estimating the signal-to-noise ratios corresponding to at least two spread spectrum complex signals;
and the signal-to-noise ratio determining module of the spread spectrum is used for determining the signal-to-noise ratio of the spread spectrum according to each signal-to-noise ratio.
The signal-to-noise ratio estimation device provided by the embodiment of the invention can execute the signal-to-noise ratio estimation method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Example four
Fig. 5 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention, and as shown in fig. 5, the electronic device includes:
one or more processors 410, one processor 410 being exemplified in FIG. 5;
a memory 420;
the apparatus may further include: an input device 430 and an output device 440.
The processor 410, the memory 420, the input device 430 and the output device 440 of the apparatus may be connected by a bus or other means, for example, in fig. 5.
The memory 420, which is a non-transitory computer-readable storage medium, may be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to a signal-to-noise ratio estimation method in the embodiment of the present invention (for example, the spread spectrum complex signal acquisition module 310, the despreading processing module 320, the useful signal power determination module 330, and the signal-to-noise ratio estimation module 340 shown in fig. 4). The processor 410 executes various functional applications and data processing of the computer device by executing the software programs, instructions and modules stored in the memory 420, namely, implementing a signal-to-noise ratio estimation method of the above method embodiment, namely:
acquiring a spread spectrum complex signal received by a receiver, wherein the spread spectrum complex signal is a constant amplitude signal;
de-spreading the spread spectrum complex signal to obtain a de-spread signal corresponding to the spread spectrum complex signal;
the spread spectrum complex signal and the despread signal are sampling signals and respectively comprise a plurality of sampling point signals;
determining useful signal power matched with the despread signal according to signal amplitude information of a sampling point signal in the despread signal;
and estimating the signal-to-noise ratio of the spread spectrum complex signal according to the total power of the spread spectrum complex signal and the useful signal power.
The memory 420 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the computer device, and the like. Further, the memory 420 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 420 may optionally include memory located remotely from processor 410, which may be connected to the terminal device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 430 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the computer apparatus. The output device 440 may include a display device such as a display screen.
EXAMPLE five
Fifth embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a signal-to-noise ratio estimation method according to a fifth embodiment of the present invention:
acquiring a spread spectrum complex signal received by a receiver, wherein the spread spectrum complex signal is a constant amplitude signal;
de-spreading the spread spectrum complex signal to obtain a de-spread signal corresponding to the spread spectrum complex signal;
the spread spectrum complex signal and the despread signal are sampling signals and respectively comprise a plurality of sampling point signals;
determining useful signal power matched with the despread signal according to signal amplitude information of a sampling point signal in the despread signal;
and estimating the signal-to-noise ratio of the spread spectrum complex signal according to the total power of the spread spectrum complex signal and the useful signal power.
Any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for estimating a signal-to-noise ratio, comprising:
acquiring a spread spectrum complex signal received by a receiver, wherein the spread spectrum complex signal is a constant amplitude signal;
de-spreading the spread spectrum complex signal to obtain a de-spread signal corresponding to the spread spectrum complex signal;
the spread spectrum complex signal and the despread signal are sampling signals and respectively comprise a plurality of sampling point signals;
determining useful signal power matched with the despread signal according to signal amplitude information of a sampling point signal in the despread signal;
and estimating the signal-to-noise ratio of the spread spectrum complex signal according to the total power of the spread spectrum complex signal and the useful signal power.
2. The method of claim 1, further comprising, after estimating the snr of the spread-spectrum complex signal based on the total power of the spread-spectrum complex signal and the desired signal power:
and if the signal-to-noise ratio is smaller than a preset signal-to-noise ratio threshold value, adjusting a communication system matched with the spread spectrum complex signal.
3. The method of claim 1, wherein estimating the signal-to-noise ratio of the spread-spectrum complex signal based on the total power of the spread-spectrum complex signal and the desired signal power comprises:
obtaining a compensation item of the useful signal power according to the incidence relation between the spread spectrum complex signal and a local spread spectrum signal adopted by spread spectrum;
and estimating the signal-to-noise ratio of the spread spectrum complex signal according to the total power, the useful signal power and the compensation term.
4. The method according to claim 3, wherein obtaining the compensation term of the useful signal power according to the correlation between the spread spectrum complex signal and the local spread spectrum signal used for spreading comprises:
acquiring a cyclic left shift signal and a cyclic right shift signal of the spread spectrum complex signal;
performing correlation operation on the cyclic left shift signal and the cyclic right shift signal with a local spread spectrum signal adopted by spread spectrum respectively;
and determining a compensation term of the useful signal power according to the signal amplitude information in the correlation operation result.
5. The method of claim 1, wherein performing despreading processing on the spread complex signal to obtain a despread signal corresponding to the spread complex signal comprises:
acquiring a conjugate signal of a local spread spectrum signal adopted by spread spectrum;
and carrying out despreading processing on the spread spectrum complex signal according to the conjugate signal to obtain a despread signal corresponding to the spread spectrum complex signal.
6. The method of claim 1, wherein determining the useful signal power matching the despread signal based on the signal amplitude information of the sampled signals in the despread signal comprises:
determining an average value of sampling point signals in the despread signal;
and taking the square value of the mean value module of the sampling point signal as the useful signal power.
7. The method of claim 1, further comprising, after estimating the snr of the spread-spectrum complex signal based on the total power of the spread-spectrum complex signal and the desired signal power:
estimating signal-to-noise ratios corresponding to at least two spread spectrum complex signals;
and determining the signal-to-noise ratio of the spread spectrum according to each signal-to-noise ratio.
8. A signal-to-noise ratio estimation apparatus, comprising:
the spread spectrum complex signal acquisition module is used for acquiring a spread spectrum complex signal received by a receiver, wherein the spread spectrum complex signal is a constant amplitude signal;
a despreading processing module, configured to despread the spread spectrum complex signal to obtain a despread signal corresponding to the spread spectrum complex signal;
the spread spectrum complex signal and the despread signal are sampling signals and respectively comprise a plurality of sampling point signals;
a useful signal power determining module, configured to determine, according to signal amplitude information of a sampling point signal in the despread signal, a useful signal power matched with the despread signal;
and the signal-to-noise ratio estimation module is used for estimating the signal-to-noise ratio of the spread spectrum complex signal according to the total power of the spread spectrum complex signal and the useful signal power.
9. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a signal-to-noise ratio estimation method as recited in any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a method for signal-to-noise ratio estimation as claimed in any one of claims 1 to 7.
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| WO2021227217A1 (en) | 2021-11-18 |
| TWI758767B (en) | 2022-03-21 |
| CN111600626B (en) | 2021-11-02 |
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