WO2021227217A1 - 信噪比估计方法、装置、电子设备及存储介质 - Google Patents
信噪比估计方法、装置、电子设备及存储介质 Download PDFInfo
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- WO2021227217A1 WO2021227217A1 PCT/CN2020/099934 CN2020099934W WO2021227217A1 WO 2021227217 A1 WO2021227217 A1 WO 2021227217A1 CN 2020099934 W CN2020099934 W CN 2020099934W WO 2021227217 A1 WO2021227217 A1 WO 2021227217A1
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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
- H04B1/69—Spread spectrum techniques
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- 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]
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- This application relates to the field of communication technology, for example, to a method, device, electronic device, and storage medium for estimating a signal-to-noise ratio.
- Spread spectrum is a communication technology that breaks the spectrum of a transmission signal to a bandwidth wider than its original bandwidth.
- Spread spectrum communication is often used in military communications or Internet of Things communications.
- 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 the base station selection and scheduling are performed according to the SNR value.
- SNR signal-to-noise ratio
- the estimation method of SNR is to use Fourier transform for operation from the frequency domain perspective, or to use the maximum likelihood estimation method, the autocorrelation matrix singular decomposition method, and the second-order fourth-order moment estimation method from the time domain perspective.
- the calculation process of the above estimation method is very complicated, which further increases the complexity of the communication system and increases the power consumption of the communication system, which brings inconvenience to the selection and scheduling of the base station.
- the embodiments of the present application provide a method, device, electronic device, and storage medium for signal-to-noise ratio estimation, which can reduce the computational complexity of signal-to-noise ratio estimation.
- an embodiment of the present application provides a method for estimating a signal-to-noise ratio, and the method includes:
- despreading processing on the spread spectrum complex signal to obtain a despread signal corresponding to the spread spectrum complex signal; wherein the spread spectrum complex signal and the despread signal are sampled signals, and the spread spectrum complex signal And the despread signal respectively include sample point signals;
- the signal-to-noise ratio of the spread-spectrum complex signal is estimated.
- an embodiment of the present application also provides a signal-to-noise ratio estimation device, which includes:
- a spread-spectrum complex signal acquisition module configured to acquire a spread-spectrum complex signal received by a receiver, where the spread-spectrum complex signal is a constant amplitude signal;
- the despread processing module is configured to perform despread processing on the spread spectrum complex signal to obtain a despread signal corresponding to the spread spectrum complex signal; wherein the spread spectrum complex signal and the despread signal are samples Signal, the spread-spectrum complex signal and the de-spread signal each include a sample signal;
- a useful signal power determination module configured to determine useful signal power matching the despread signal according to the signal amplitude information of the sample signal in the despread signal
- the signal-to-noise ratio estimation module is configured to estimate 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.
- an electronic device which includes:
- Storage device for storing programs
- the processor realizes the signal-to-noise ratio estimation method according to any embodiment of the present application.
- an embodiment of the present application also provides a computer-readable storage medium having a computer program stored on the computer-readable storage medium, and when the computer program is executed by a processor, the implementation of the SNR estimation method.
- FIG. 1 is a flowchart of a method for estimating a signal-to-noise ratio according to Embodiment 1 of the present application;
- FIG. 2 is a flowchart of a method for estimating a signal-to-noise ratio according to Embodiment 2 of the present application;
- FIG. 3 is a flowchart of a method for estimating a signal-to-noise ratio according to Embodiment 2 of the present application;
- FIG. 4 is a schematic structural diagram of a signal-to-noise ratio estimation device provided in Embodiment 3 of the present application;
- FIG. 5 is a schematic structural diagram of an electronic device according to Embodiment 4 of the present application.
- FIG. 1 is a flowchart of a method for estimating a signal-to-noise ratio provided by Embodiment 1 of the present application.
- This embodiment can be applied to a military communication system or an Internet of Things communication system.
- SNR can be estimated from a time domain perspective to perform base station selection and scheduling.
- the method may be executed by a signal-to-noise ratio estimation device, which may be implemented by software and/or hardware, and the device may be integrated in a terminal device or a base station, as shown in Fig. 1, the method may include:
- Step 110 Obtain the spread-spectrum complex signal received by the receiver, where the spread-spectrum complex signal is a constant amplitude signal.
- the spread-spectrum complex signal is a spread-spectrum-modulated sample signal received by the receiver, and may include multiple sample signals.
- the spread spectrum modulation can be a modulation method such as linear spread spectrum, frequency hopping spread spectrum, direct sequence spread spectrum, or a combination modulation method of the above modulation methods.
- the spread spectrum complex signal may be a signal passing through a Gaussian additive white noise channel.
- the spread spectrum complex signal can be a signal with a constant amplitude.
- the spread spectrum complex signal can be a complete sequence of signals received by the receiver.
- the spread spectrum complex signal may be a signal acquired through a communication device.
- Step 120 Perform despreading processing on the spread spectrum complex signal to obtain a despread signal corresponding to the spread spectrum complex signal.
- the despreading process may be signal despreading for a spread spectrum modulation method of a spread spectrum complex signal.
- Different spread spectrum signal types and modulation methods can be used for despreading in different ways.
- the purpose of the despreading processing may be to remove the frequency component or phase component of the spread complex signal from the obtained despread signal, and the modulus of the mean value of the despread signal is the amplitude of the useful signal.
- the despread signal is a sampled signal, which may include multiple sample point signals. Exemplary, complex signal with chirp spread spectrum The corresponding despread signal can be
- performing despreading processing on the spread spectrum complex signal to obtain the despread signal corresponding to the spread spectrum complex signal includes: obtaining the common value of the local spread spectrum signal used in the spread spectrum.
- Conjugate signal despreading the spread-spectrum complex signal according to the conjugate signal to obtain the despreading signal corresponding to the spread-spectrum complex signal.
- the local spread spectrum signal used for spread spectrum is the signal used when the spread spectrum complex signal received by the receiver is subjected to spread spectrum modulation before being received.
- the spread spectrum modulation can be a modulation method such as linear spread spectrum, frequency hopping spread spectrum, direct sequence spread spectrum, or a combination modulation method of the above modulation methods.
- the despreading processing of the spread spectrum complex signal can be to obtain the local spread spectrum signal used for spread spectrum, determine the conjugate signal of the local spread spectrum signal, and remove the frequency component or phase component in the spread spectrum complex signal according to the conjugate signal, Obtain the corresponding despread signal.
- the despread signal obtained by the despread processing of the spread spectrum complex signal is the dot multiplication of the spread spectrum complex signal and the conjugate signal of the local spread spectrum signal used by the linear spread spectrum;
- spread spectrum modulation When it is frequency hopping spread spectrum, the despread signal obtained by the despread processing of the spread spectrum complex signal is the dot multiplication of the spread spectrum complex signal and the conjugate signal of the local frequency hopping signal corresponding to the hopping frequency;
- the spread spectrum modulation is direct sequence spreading
- the despread signal obtained by the despread processing of the spread-spectrum complex signal is the dot product of the conjugate signal of the product of the spread-spectrum complex signal and the product of the pseudo-noise sequence and the local carrier signal.
- the spread-spectrum complex signal is generated after linear spreading.
- the carrier frequency of is set to 0
- k is the frequency change slope determined by the signal bandwidth B w and T s
- Step 130 Determine the useful signal power matching the despread signal according to the signal amplitude information of the sample signal in the despread signal.
- the spread spectrum complex signal is a constant amplitude signal. According to the signal amplitude information of the sample signal in the despread signal, the amplitude information of the useful signal can be obtained, and the useful signal power can be determined according to the amplitude information of the useful signal.
- determining the useful signal power matching the despread signal according to the signal amplitude information of the sample signal in the despread signal includes: determining the value of the sample signal in the despread signal Average value: The square value of the average modulus of the sample signal is regarded as the useful signal power.
- the spread-spectrum complex signal may be a signal passing through a Gaussian additive white noise channel
- the average value of the sample signal in the despread signal R(n) is A mold 1
- amplitude information may be determined as the useful signal
- 2 can be determined as the useful signal power.
- Step 140 Estimate 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 total power of the spread-spectrum complex signal may be the average value of the square value of the sample signal modulus in the spread-spectrum complex signal, that is, for the spread-spectrum complex signal S(n), the total power may be
- the signal-to-noise ratio can be the ratio of the useful signal power to the noise power, where the noise power can be the difference between the total power and the useful signal power. That is, for the spread spectrum complex signal S(n), the despread signal is R(n), and the estimated signal-to-noise ratio of S(n) can be
- the method may further include: if the signal-to-noise ratio is less than the preset signal-to-noise ratio threshold , Then adjust the communication system that matches the spread spectrum complex signal.
- the communication system matching the spread-spectrum complex signal can be adjusted. For example, instruct the user corresponding to the spread-spectrum complex signal to reselect the base station to increase 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, such as increasing the transmission power, In order to improve the signal-to-noise ratio and improve the quality of communication.
- the method may further include: estimating the signals corresponding to the at least two spread-spectrum complex signals.
- Noise ratio Determine the signal-to-noise ratio of spread spectrum according to each signal-to-noise ratio.
- the estimated signal-to-noise ratio of the spread-spectrum complex signal may be used as the signal-to-noise ratio of the spread-spectrum modulation scheme.
- the signal-to-noise ratio corresponding to multiple complete spread-spectrum complex signals under the same spread-spectrum modulation mode can be estimated, and the signal-to-noise ratio under the spread-spectrum modulation mode in the communication system can be determined according to each signal-to-noise ratio. Determining the signal-to-noise ratio under the spread-spectrum modulation method in the communication system can take many forms.
- the signal-to-noise ratio under the spread-spectrum modulation method in the communication system can be the average value of the signal-to-noise ratio, or remove the maximum value.
- the average value of the signal-to-noise ratio remaining after the minimum value, or the median value of the signal-to-noise ratio, etc. Can make the signal-to-noise ratio of spread spectrum more accurate.
- the technical scheme of this embodiment obtains the spread spectrum complex signal received by the receiver; performs despreading processing on the spread spectrum complex signal to obtain the despread signal corresponding to the spread spectrum complex signal; according to the signal of the sample signal in the despread signal Amplitude information is used to determine the useful signal power matching the despread signal; according to the total power of the spread complex signal and the useful signal power, the signal-to-noise ratio of the spread-spectrum complex signal is estimated, providing a new way to estimate the signal-to-noise ratio,
- the problem of SNR estimation in military communication systems or IoT communication systems is solved, SNR is estimated from the time domain perspective, and the computational complexity of SNR estimation is reduced, thereby reducing the complexity of the communication system and the effect of reducing the power consumption of the communication system.
- Figure 2 is a flow chart of a method for estimating a signal-to-noise ratio provided by the second embodiment of the present application. This embodiment is a modification of the above-mentioned technical solution. Each option is combined. As shown in Figure 2, the method includes:
- Step 210 Obtain the spread-spectrum complex signal received by the receiver, where the spread-spectrum complex signal is a constant amplitude signal.
- Step 220 Obtain the conjugate signal of the local spread spectrum signal used for spread spectrum; perform 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.
- Step 230 Determine the average value of the sample signal in the despread signal; use the square value of the average modulus of the sample signal as the useful signal power.
- Step 240 Obtain a useful signal power compensation item according to the correlation 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 the spread spectrum may be a preset quantitative relationship or a preset calculation relationship.
- the compensation term for useful signal power can be determined according to the correlation. For example, when the spread-spectrum complex signal is obtained by using different spread-spectrum modulation methods through experimental observation, the difference between the signal-to-noise ratio obtained by the method for estimating the signal-to-noise ratio provided in the embodiment of the application and the signal-to-noise ratio obtained by the method in the related art The difference. Determine the quantitative relationship between the spread-spectrum complex signal and the local spread-spectrum signal adopted by the spread spectrum according to the difference. Exemplarily, when the spread spectrum complex signal is obtained by linear spread spectrum, the quantitative relationship between the spread spectrum complex signal and the local spread spectrum signal used by the spread spectrum is It can be determined that the compensation term of the useful signal power is the total power
- the compensation term for obtaining the useful signal power includes: obtaining the cyclic left-shift signal by one bit and the cyclic right-shift signal of the spread spectrum complex signal;
- the local spread spectrum signal used is used for correlation calculation;
- the useful signal power compensation item is determined according to the signal amplitude information in the calculation result of the correlation calculation.
- cyclically shifting one bit signal to the left refers to cyclically shifting the sample point signal in the spread spectrum complex signal to the left, and the number of shifting bits is one bit.
- the cyclic left-shift signal can be S(2), S(3),...S(n) , S(1).
- cyclically shifting the signal by one bit to the right refers to cyclically shifting the sample signal in the spread spectrum complex signal to the right, shifting the right digit by one bit.
- the cyclic right one bit signal can 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 by the spread spectrum can be an operational relationship. Correlation operation between frequency signals. Among them, the correlation operation may be a cross-correlation operation. In some embodiments, it may be determined that the modulus of the result of the correlation operation is the signal amplitude information in the result of the correlation operation. It can be determined that the square of the modulus of the result of the correlation operation is a compensation term for the useful signal power.
- Step 250 Estimate 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 sum of the compensation item corresponding to the signal that is cyclically shifted by one bit to the left, the compensation item corresponding to the signal that is cyclically shifted by one bit to the right, and the sum of the useful signal power may be determined as the actual useful signal power. Estimate the signal-to-noise ratio of the spread spectrum complex signal based on the actual useful signal power and the total power.
- Step 260 Estimate the signal-to-noise ratio corresponding to the at least two spread-spectrum complex signals; determine the signal-to-noise ratio of the spread spectrum according to each signal-to-noise ratio.
- Step 270 If the signal-to-noise ratio of the spread spectrum is less than the preset signal-to-noise ratio threshold, adjust the communication system that matches the signal-to-noise ratio of the spread spectrum.
- the technical solution of the embodiment of this application obtains the spread spectrum complex signal received by the receiver; acquires the conjugate signal of the local spread spectrum signal used for spread spectrum; performs despreading processing on the spread spectrum complex signal according to the conjugate signal to obtain the The despread signal corresponding to the frequency complex signal; determine the average value of the sample signal in the despread signal; use the square value of the average modulus of the sample signal as the useful signal power; according to the spread spectrum complex signal and the local spread spectrum adopted by the spread spectrum
- the correlation between the signals to obtain the compensation term of the useful signal power; to estimate the signal-to-noise ratio of the spread-spectrum complex signal according to the total power, the useful signal power and the compensation term; to estimate the signal-to-noise ratio corresponding to at least two spread-spectrum complex signals; Determine the signal-to-noise ratio of the spread spectrum according to each signal-to-noise ratio; if the signal-to-noise ratio of the spread spectrum is less than the preset signal-to-noise
- FIG. 3 is a flowchart of a method for estimating a signal-to-noise ratio provided by Embodiment 2 of the present application.
- Signal S(1), S(2),...S(n) the sample signal in the modulus is calculated and the square value is 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 sum of the useful signal power, the ratio of the total power and the useful signal power difference is used as the theoretically estimated signal-to-noise ratio.
- the sum of the useful signal power and the compensation term is determined as the actual useful signal power.
- the actual useful signal power sum, the ratio of the total power and the actual useful signal power difference is taken as the actual estimated signal-to-noise ratio.
- the actual estimated signal-to-noise ratio is more accurate than the theoretically estimated signal-to-noise ratio.
- the compensation term can be a certain proportion of the total power, or it can be determined by performing correlation calculations between the cyclic left-shift signal and the cyclic right-shift signal of the spread-spectrum complex signal and the local spread-spectrum signal used by the spread spectrum.
- FIG. 4 is a schematic structural diagram of a signal-to-noise ratio estimation device provided in Embodiment 3 of the present application.
- the device includes: a spread spectrum complex signal acquisition module 310, a despread processing module 320, a useful 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 the spread-spectrum complex signal received by the receiver, and the spread-spectrum complex signal is a constant amplitude signal;
- the despreading processing module 320 is configured to perform despreading processing on the spread-spectrum complex signal to obtain a despread signal corresponding to the spread-spectrum complex signal; wherein the spread-spectrum complex signal and the despread signal are sampled signals, and each includes a plurality of samples. Signal;
- the useful signal power determining module 330 is configured to determine the useful signal power matching the despread signal according to the signal amplitude information of the sample signal in the despread signal;
- the signal-to-noise ratio estimation module 340 is configured to estimate 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 device further includes:
- the adjustment module is configured to, 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, and if the signal-to-noise ratio is less than the preset signal-to-noise ratio threshold, pair it with the spread-spectrum complex signal The signal matching communication system is adjusted.
- the signal-to-noise ratio estimation module 340 includes:
- the compensation item obtaining unit is configured to obtain the compensation item of the useful signal power according to the correlation between the spread-spectrum complex signal and the local spread-spectrum signal adopted by the spread spectrum;
- the signal-to-noise ratio estimation unit is configured to estimate 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 compensation item acquisition unit includes:
- the signal acquisition subunit is configured to acquire the cyclically shifted one bit signal to the left and the cyclically shifted one bit signal to the right of the spread spectrum complex signal;
- the correlation operation subunit is configured to perform correlation operations on the cyclic left-shift signal and the cyclic right-shift signal with the local spread spectrum signal adopted by the spread spectrum respectively;
- the compensation item determination subunit is configured to determine the compensation item of the useful signal power according to the signal amplitude information in the operation result of the correlation operation.
- the despreading processing module 320 includes:
- the conjugate signal acquisition unit is configured to acquire the conjugate signal of the local spread spectrum signal used for spread spectrum
- the despread signal acquisition unit is configured to perform despread processing on the spread complex signal according to the conjugate signal to obtain a despread signal corresponding to the spread complex signal.
- the useful signal power determination module 330 includes:
- the average value determining unit is configured to determine the average value of the sample signal in the despread signal
- the useful signal power determination unit is configured to use the square value of the average modulus of the sample signal as the useful signal power.
- the device further includes:
- the multiple signal-to-noise ratio estimation module is configured to estimate the signal-to-noise ratio corresponding to at least two spread-spectrum complex signals 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;
- the signal-to-noise ratio determination module of the spread spectrum is configured to determine the signal-to-noise ratio of the spread spectrum according to each signal-to-noise ratio.
- the signal-to-noise ratio estimation device provided in the embodiment of the present application can execute the signal-to-noise ratio estimation method provided in any embodiment of the present application, and has corresponding functional modules and beneficial effects for the execution method.
- FIG. 5 is a schematic structural diagram of an electronic device provided in Embodiment 4 of the present application. As shown in FIG. 5, the device includes:
- One or more processors 410, one processor 410 is taken as an example in FIG. 5;
- the device 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 in the device may be connected through a bus or other methods.
- the connection through a bus is taken as an example.
- the memory 420 can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules (for example, The spread spectrum complex signal acquisition module 310, the despread 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 equipment by running the software programs, instructions, and modules stored in the memory 420, that is, implements a signal-to-noise ratio estimation method of the foregoing method embodiment, namely:
- the spread-spectrum complex signal and the de-spread signal are sampled signals, which respectively include multiple sample point signals;
- the signal-to-noise ratio of the spread-spectrum complex signal is estimated.
- the memory 420 may include a program storage area and a data storage area.
- the program storage area may store an operating system and an application program required by at least one function; the data storage area may store data created according to the use of a computer device, and the like.
- the memory 420 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices.
- the memory 420 may optionally include memories remotely provided with respect to the processor 410, and these remote memories may be connected to the terminal device via a network. Examples of the aforementioned network may include the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
- the input device 430 can be used to receive inputted numeric or character information, and generate key signal inputs related to user settings and function control of the computer equipment.
- the output device 440 may include a display device such as a display screen.
- the fifth embodiment of the present application provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, a method for estimating the signal-to-noise ratio as provided in the embodiment of the present application is implemented:
- the spread spectrum complex signal and the despread signal are sampled signals, and each includes a plurality of samples. Signal;
- the signal-to-noise ratio of the spread-spectrum complex signal is estimated.
- the computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium.
- the computer-readable storage medium may be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the above.
- Examples of computer-readable storage media include: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable Programmable read only memory (EPROM or flash memory), optical fiber, portable compact disk read only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.
- the computer-readable storage medium may be any tangible medium that contains or stores a program, and the program may be used by or in combination with an instruction execution system, apparatus, or device.
- the computer-readable signal medium may include a data signal propagated in baseband or as a part of a carrier wave, and computer-readable program code is carried therein. This propagated data signal can take many forms, and can include electromagnetic signals, optical signals, or any suitable combination of the foregoing.
- the computer-readable signal medium may also be any computer-readable medium other than the computer-readable storage medium.
- the computer-readable medium may send, propagate, or transmit the program for use by or in combination with the instruction execution system, apparatus, or device .
- the program code contained on the computer-readable medium can be transmitted by any suitable medium, which may include wireless, wire, optical cable, RF, etc., or any suitable combination of the above.
- the computer program code used to perform the operations of this application can be written in one or more programming languages or a combination thereof.
- the programming languages include object-oriented programming languages—such as Java, Smalltalk, C++, and also conventional Procedural programming language-such as "C" language or similar programming language.
- the program code can be executed entirely on the user's computer, partly on the user's computer, executed as an independent software package, partly on the user's computer and partly executed on a remote computer, or entirely executed on the remote computer or server.
- the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (for example, using an Internet service provider to pass Internet connection).
- LAN local area network
- WAN wide area network
- Internet service provider for example, using an Internet service provider to pass Internet connection.
- the technical solution of the embodiment of the application obtains the spread-spectrum complex signal received by the receiver; performs despreading processing on the spread-spectrum complex signal to obtain the despread signal corresponding to the spread-spectrum complex signal; Signal amplitude information, determine the useful signal power matching the despread signal; estimate 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, providing a new way to estimate the signal-to-noise ratio , It solves the SNR estimation problem existing in the military communication system or the Internet of Things communication system in the related technology, and realizes the effect of reducing the computational complexity of SNR estimation.
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Abstract
本申请公开了一种信噪比估计方法、装置、电子设备及存储介质。该方法包括:获取接收机接收到的扩频复信号,扩频复信号为恒幅信号;对扩频复信号进行解扩处理,得到与扩频复信号对应的解扩信号;其中,扩频复信号和解扩信号为采样信号,分别包括样点信号;根据解扩信号中所述样点信号的信号幅度信息,确定与解扩信号匹配的有用信号功率;根据扩频复信号的总功率,以及有用信号功率,估计扩频复信号的信噪比。该方法可以降低信噪比估计的运算复杂度。
Description
本公开要求在2020年05月13日提交中国专利局、申请号为202010403357.X的中国专利申请的优先权,以上申请的全部内容通过引用结合在本公开中。
本申请涉及通信技术领域,例如涉及一种信噪比估计方法、装置、电子设备及存储介质。
扩频是将传输信号的频谱打散到较其原始带宽更宽的带宽的一种通信技术,扩频通信常用于军事通信或者物联网通信。在军事通信系统或者物联网通信系统中,需要根据扩频的信号强度进行基站的选择调度。通常,信号强度采用信噪比(Signal-to-Noise Ratio,SNR)值表示,即在军事通信系统或者物联网通信系统中,需要估计SNR值,并根据SNR值进行基站的选择调度。
相关技术中,SNR的估计方法是从频域角度采用傅里叶变换进行运算,或者从时域角度采用最大似然估计法、自相关矩阵奇异分解法、二阶四阶矩估计法。上述估计方法的运算过程非常复杂,进而带来通信系统的复杂度增加以及通信系统功耗的增加,给基站的选择调度带来不便。
发明内容
本申请实施例提供了一种信噪比估计方法、装置、电子设备及存储介质,可以降低信噪比估计的运算复杂度。
第一方面,本申请实施例提供了一种信噪比估计方法,该方法包括:
获取接收机接收到的扩频复信号,所述扩频复信号为恒幅信号;
对所述扩频复信号进行解扩处理,得到与所述扩频复信号对应的解扩信号;其中,所述扩频复信号和所述解扩信号为采样信号,所述扩频复信号和所述解扩信号分别包括样点信号;
根据所述解扩信号中所述样点信号的信号幅度信息,确定与所述解扩信号匹配的有用信号功率;
根据所述扩频复信号的总功率,以及所述有用信号功率,估计所述扩频复信号的信噪比。
第二方面,本申请实施例还提供了一种信噪比估计装置,该装置包括:
扩频复信号获取模块,被配置为获取接收机接收到的扩频复信号,所述扩频复信号为恒幅信号;
解扩处理模块,被配置为对所述扩频复信号进行解扩处理,得到与所述扩频复信号对应的解扩信号;其中,所述扩频复信号和所述解扩信号为采样信号,所述扩频复信号和所述解扩信号分别包括样点信号;
有用信号功率确定模块,被配置为根据所述解扩信号中所述样点信号的信号幅度信息,确定与所述解扩信号匹配的有用信号功率;
信噪比估计模块,被配置为根据所述扩频复信号的总功率,以及所述有用信号功率,估计所述扩频复信号的信噪比。
第三方面,本申请实施例还提供了一种电子设备,该设备包括:
处理器;
存储装置,用于存储程序,
当所述程序被所述处理器执行,使得所述处理器实现如本申请任意实施例所述的信噪比估计方法。
第四方面,本申请实施例还提供了一种计算机可读存储介质,所述计算机 可读存储介质上存储有计算机程序,所述计算机程序被处理器执行时实现如本申请任意实施例所述的信噪比估计方法。
图1是本申请实施例一提供的一种信噪比估计方法的流程图;
图2是本申请实施例二提供的一种信噪比估计方法的流程图;
图3是本申请实施例二提供的一种信噪比估计方法的流程图;
图4是本申请实施例三提供的一种信噪比估计装置的结构示意图;
图5是本申请实施例四提供的一种电子设备的结构示意图。
下面结合附图和实施例对本申请作进一步的详细说明。可以理解的是,此处所描述的具体实施例仅仅用于解释本申请,而非对本申请的限定。另外还需要说明的是,为了便于描述,附图中仅示出了与本申请相关的部分而非全部结构。
实施例一
图1是本申请实施例一提供的一种信噪比估计方法的流程图,本实施例可适用于军事通信系统或者物联网通信系统中,可以从时域角度估计SNR,进行基站选择调度。该方法可以由信噪比估计装置来执行,该装置可以通过软件,和/或硬件的方式实现,装置可以集成在终端设备或者基站中,如图1所示,该方法可以包括:
步骤110、获取接收机接收到的扩频复信号,扩频复信号为恒幅信号。
在一些实施例中,扩频复信号是接收机接收到的经过扩频调制的采样信号,可以包括多个样点信号。扩频调制可以是线性扩频、跳频扩频、直序扩频等调制方式,或者上述调制方式的组合调制方式。
扩频复信号可以是经过高斯加性白噪声信道的信号。扩频复信号可以是幅度恒定的信号。扩频复信号可以是接收机接收到的一个完整序列的信号。扩频复信号可以是通过通信设备获取的信号。
步骤120、对扩频复信号进行解扩处理,得到与扩频复信号对应的解扩信号。
在一些实施例中,解扩处理可以是针对扩频复信号的扩频调制方式进行的信号解扩。针对不同的扩频信号类型以及调制方式可以采用不同的方式进行解扩处理。解扩处理的目的可以是使得到的解扩信号去除掉扩频复信号的频率分量,或者相位分量,解扩信号均值的模为有用信号的幅度。其中,解扩信号为采样信号,可以包括多个样点信号。示例性的,与chirp扩频复信号
对应的解扩信号可以是
在本申请实施例的一个实施方式中,可选的,对扩频复信号进行解扩处理,得到与扩频复信号对应的解扩信号,包括:获取扩频采用的本地扩频信号的共轭信号;根据共轭信号对扩频复信号进行解扩处理,得到与扩频复信号对应的解扩信号。
在一些实施例中,扩频采用的本地扩频信号是接收机接收到的扩频复信号在被接收到之前所进行扩频调制时采用的信号。扩频调制可以是线性扩频、跳频扩频、直序扩频等调制方式,或者上述调制方式的组合调制方式。对扩频复信号的解扩处理可以是获取扩频采用的本地扩频信号,并确定本地扩频信号的共轭信号,根据共轭信号去除扩频复信号中的频率分量,或者相位分量,得到对应的解扩信号。例如,扩频调制是线性扩频时,扩频复信号的解扩处理得到的解扩信号是扩频复信号与线性扩频采用的本地扩频信号的共轭信号的点乘;扩频调制是跳频扩频时,扩频复信号的解扩处理得到的解扩信号是扩频复信号与跳变频率对应的本地跳频信号的共轭信号的点乘;扩频调制是直序扩频时,扩频复信号的解扩处理得到的解扩信号是扩频复信号与伪噪声序列和本地载波信号乘积的共轭信号的点乘。
示例性的,扩频复信号是经过线性扩频后产生的,线性扩频信号的表达式为U(t)=exp(j2π(f
0t+kt
2/2)),f
0为起始的载波频率,设为0,k为由信号带宽B
w和T
s确定的频率变化斜率,
时域离散的线性扩频信号表达式为
其中,T
s=2
sf·T,T
s为采样持续时间,T为采样间隔时间,B为扫频带宽,时域离散的线性扩频信号表达式可以简化为
可以被认为是扩频采用线性扩频时的本地扩频信号,其共轭信号为
扩频复信号对应的解扩信号可以是R(n)=S(n).*U(n)
*。
步骤130、根据解扩信号中样点信号的信号幅度信息,确定与解扩信号匹配的有用信号功率。
在一些实施例中,扩频复信号为恒幅信号,根据解扩信号中样点信号的信号幅度信息,可以得到是有用信号的幅度信息,根据有用信号的幅度信息可以确定有用信号功率。
在本申请实施例的一个实施方式中,可选的,根据解扩信号中样点信号的信号幅度信息,确定与解扩信号匹配的有用信号功率,包括:确定解扩信号中样点信号的平均值;将样点信号的平均值模的平方值作为有用信号功率。
在本申请实施例中,示例性的,扩频复信号可以是经过高斯加性白噪声信道的信号,
解扩信号R(n)中样点信号的平均值为
A
1的模|A
1|可以确定为有用信号的幅度信息,A
1模的平方值|A
1|
2可以确定为有用信号功率。
步骤140、根据扩频复信号的总功率,以及有用信号功率,估计扩频复信号的信噪比。
在一些实施例中,扩频复信号的总功率可以是扩频复信号中样点信号模的平方值的平均值,即对于扩频复信号S(n),其总功率可以是
信噪比可以是有用信号功率与噪声功率的比值,其中噪声功率可以是总功率与有用信号功率的差值。即对于扩频复信号S(n),其解扩信号为R(n),估计的S(n)的信噪比可以是
在本申请实施例中,在根据扩频复信号的总功率,以及有用信号功率,估计扩频复信号的信噪比之后,该方法还可以包括:若信噪比小于预设信噪比阈值,则对与扩频复信号匹配的通信系统进行调整。
在一些实施例中,如果估计的扩频复信号对应的信噪比小于预设信噪比阈值,不能满足通信需求,可以对扩频复信号匹配的通信系统进行调整。例如,指示扩频复信号对应的用户重新选择基站,提高扩频复信号对应的信噪比,以提升信号质量;或者,指示扩频复信号对应的用户调整发射功率,比如增大发射功率,以提升信噪比,提高通信质量。
在本申请实施例中,在根据扩频复信号的总功率,以及有用信号功率,估计扩频复信号的信噪比之后,该方法还可以包括:估计至少两个扩频复信号对应的信噪比;根据每个信噪比确定扩频的信噪比。
在一些实施例中,可以将估计的扩频复信号的信噪比作为该扩频调制方式的信噪比。在一些实施例中,可以估计同一扩频调制方式下的多个完整的扩频复信号对应的信噪比,根据每个信噪比确定通信系统中该扩频调制方式下的信噪比。确定通信系统中该扩频调制方式下的信噪比,可以具有多种形式,例如,通信系统中该扩频调制方式下的信噪比可以是信噪比的平均值,或者去除极大值与极小值之后剩余的信噪比的平均值,或者信噪比的中位值等。可以使扩频的信噪比精确度更高。
本实施例的技术方案通过获取接收机接收到的扩频复信号;对扩频复信号进行解扩处理,得到与扩频复信号对应的解扩信号;根据解扩信号中样点信号的信号幅度信息,确定与解扩信号匹配的有用信号功率;根据扩频复信号的总功率,以及有用信号功率,估计扩频复信号的信噪比,提供了一种估计信噪比的新方式,解决了军事通信系统或者物联网通信系统中SNR的估计问题,实现了从时域角度估计SNR,降低SNR估计的运算复杂度,从而降低通信系统复杂度,减少通信系统功耗的效果。
实施例二
图2是本申请实施例二提供的一种信噪比估计方法的流程图,本实施例是对上述技术方案的改动,本实施例中的技术方案可以与上述一个或者多个实施例中的每个可选方案结合。如图2所示,该方法包括:
步骤210、获取接收机接收到的扩频复信号,扩频复信号为恒幅信号。
步骤220、获取扩频采用的本地扩频信号的共轭信号;根据共轭信号对扩频复信号进行解扩处理,得到与扩频复信号对应的解扩信号。
步骤230、确定解扩信号中样点信号的平均值;将样点信号的平均值模的平方值作为有用信号功率。
步骤240、根据扩频复信号与扩频采用的本地扩频信号之间的关联关系,获取有用信号功率的补偿项。
在一些实施例中,扩频复信号与扩频采用的本地扩频信号之间的关联关系可以是预设的数量关系或者预设的运算关系。可以根据关联关系确定有用信号功率的补偿项。例如,可以通过实验观测扩频复信号通过采用不同的扩频调制方式得到时,本申请实施例提供的信噪比估计方法得到的信噪比与相关技术中的方法得到的信噪比之间的差异。根据差异确定扩频复信号与扩频采用的本地扩频信号之间的数量关系。示例性的,扩频复信号是采用线性扩频得到时,扩频复信号与扩频采用的本地扩频信号之间的数量关系是
可以确定有用信号功率的补偿项为总功率的
为了获取更精确的补偿项,使信噪比的估计更加准确,在本申请实施例的一个实施方式中,可选的,根据扩频复信号与扩频采用的本地扩频信号之间的关联关系,获取有用信号功率的补偿项,包括:获取扩频复信号的循环左移一 位信号和循环右移一位信号;将循环左移一位信号和循环右移一位信号分别与扩频采用的本地扩频信号进行相关运算;根据相关运算的运算结果中的信号幅度信息,确定有用信号功率的补偿项。
其中,循环左移一位信号是指将扩频复信号中的样点信号进行循环左移,移动位数为一位。例如,对于扩频复信号S(1),S(2),...S(n),循环左移一位信号可以是S(2),S(3),...S(n),S(1)。相似的,循环右移一位信号是指将扩频复信号中的样点信号进行循环右移,移动右数为一位。例如,对于扩频复信号S(1),S(2),...S(n),循环右移一位信号可以是S(n),S(1),S(2),...S(n-1)。
扩频复信号与扩频采用的本地扩频信号之间的关联关系可以是运算关系,比如扩频复信号的循环左移一位信号与循环右移一位信号分别与扩频采用的本地扩频信号之间的相关运算。其中,相关运算可以是互相关运算。在一些实施例中,可以确定相关运算的结果的模为相关运算的运算结果中的信号幅度信息。可以确定相关运算的结果模的平方值为有用信号功率的补偿项。
步骤250、根据总功率、有用信号功率以及补偿项,估计扩频复信号的信噪比。
在一些实施例中,可以将循环左移一位信号对应的补偿项、循环右移一位信号对应的补偿项、以及有用信号功率之和,确定为实际有用信号功率。根据实际有用信号功率与总功率估计扩频复信号的信噪比。
步骤260、估计至少两个扩频复信号对应的信噪比;根据各信噪比确定扩频的信噪比。
步骤270、若扩频的信噪比小于预设信噪比阈值,则对与扩频的信噪比匹配的通信系统进行调整。
本申请实施例的技术方案通过获取接收机接收到的扩频复信号;获取扩频 采用的本地扩频信号的共轭信号;根据共轭信号对扩频复信号进行解扩处理,得到与扩频复信号对应的解扩信号;确定解扩信号中样点信号的平均值;将样点信号的平均值模的平方值作为有用信号功率;根据扩频复信号与扩频采用的本地扩频信号之间的关联关系,获取有用信号功率的补偿项;根据总功率、有用信号功率以及补偿项,估计扩频复信号的信噪比;估计至少两个扩频复信号对应的信噪比;根据各信噪比确定扩频的信噪比;若扩频的信噪比小于预设信噪比阈值,则对与扩频的信噪比匹配的通信系统进行调整,提供了一种估计信噪比的新方式,解决了军事通信系统或者物联网通信系统中SNR的估计问题,实现了SNR估计运算复杂度低、精度高的效果。
图3是本申请实施例二提供的一种信噪比估计方法的流程图,如图3所示,本申请实施例的一个使用过程可以是:将接收机接收到的完整序列的扩频复信号S(1),S(2),...S(n),中的样点信号进行取模后计算平方值,并对所有模的平方值进行求和,得到总能量。通过总能量与样点信号个数的比值确定总功率。通过扩频复信号S(1),S(2),...S(n)与扩频采用的本地扩频信号的共轭信号的点乘,确定解扩信号R(1),R(2),...R(n)。对解扩信号取均值后,取模并计算平方值,确定为有用信号功率。将有用信号功率和,总功率与有用信号功率差值的比值作为理论估计的信噪比。将有用信号功率与补偿项之和确定为实际有用信号功率。将实际有用信号功率和,总功率与实际有用信号功率差值的比值作为实际估计的信噪比。其中,实际估计的信噪比比理论估计的信噪比更精确。补偿项可以是一定比例的总功率,也可以是根据扩频复信号的循环左移一位信号与循环右移一位信号分别与扩频采用的本地扩频信号之间进行相关运算确定的。
实施例三
图4是本申请实施例三提供的一种信噪比估计装置的结构示意图。结合图4,该装置包括:扩频复信号获取模块310,解扩处理模块320,有用信号功率确定模块330和信噪比估计模块340。
其中,扩频复信号获取模块310,被配置为获取接收机接收到的扩频复信号,扩频复信号为恒幅信号;
解扩处理模块320,被配置为对扩频复信号进行解扩处理,得到与扩频复信号对应的解扩信号;其中,扩频复信号和解扩信号为采样信号,分别包括多个样点信号;
有用信号功率确定模块330,被配置为根据解扩信号中样点信号的信号幅度信息,确定与解扩信号匹配的有用信号功率;
信噪比估计模块340,被配置为根据扩频复信号的总功率,以及有用信号功率,估计扩频复信号的信噪比。
可选的,该装置,还包括:
调整模块,被配置为在根据扩频复信号的总功率,以及有用信号功率,估计扩频复信号的信噪比之后,若信噪比小于预设信噪比阈值,则对与扩频复信号匹配的通信系统进行调整。
可选的,信噪比估计模块340,包括:
补偿项获取单元,被配置为根据扩频复信号与扩频采用的本地扩频信号之间的关联关系,获取有用信号功率的补偿项;
信噪比估计单元,被配置为根据总功率、有用信号功率以及补偿项,估计扩频复信号的信噪比。
可选的,补偿项获取单元,包括:
信号获取子单元,被配置为获取扩频复信号的循环左移一位信号和循环右 移一位信号;
相关运算进行子单元,被配置为将循环左移一位信号和循环右移一位信号分别与扩频采用的本地扩频信号进行相关运算;
补偿项确定子单元,被配置为根据相关运算的运算结果中的信号幅度信息,确定有用信号功率的补偿项。
可选的,解扩处理模块320,包括:
共轭信号获取单元,被配置为获取扩频采用的本地扩频信号的共轭信号;
解扩信号获取单元,被配置为根据共轭信号对扩频复信号进行解扩处理,得到与扩频复信号对应的解扩信号。
可选的,有用信号功率确定模块330,包括:
平均值确定单元,被配置为确定解扩信号中样点信号的平均值;
有用信号功率确定单元,被配置为将样点信号的平均值模的平方值作为有用信号功率。
可选的,该装置,还包括:
多信噪比估计模块,被配置为在根据扩频复信号的总功率,以及有用信号功率,估计扩频复信号的信噪比之后,估计至少两个扩频复信号对应的信噪比;
扩频的信噪比确定模块,被配置为根据每个信噪比确定扩频的信噪比。
本申请实施例所提供的信噪比估计装置可执行本申请任意实施例所提供的信噪比估计方法,具备执行方法相应的功能模块和有益效果。
实施例四
图5是本申请实施例四提供的一种电子设备的结构示意图,如图5所示,该设备包括:
一个或多个处理器410,图5中以一个处理器410为例;
存储器420;
所述设备还可以包括:输入装置430和输出装置440。
所述设备中的处理器410、存储器420、输入装置430和输出装置440可以通过总线或者其他方式连接,图5中以通过总线连接为例。
存储器420作为一种非暂态计算机可读存储介质,可用于存储软件程序、计算机可执行程序以及模块,如本申请实施例中的一种信噪比估计方法对应的程序指令/模块(例如,附图4所示的扩频复信号获取模块310,解扩处理模块320,有用信号功率确定模块330和信噪比估计模块340)。处理器410通过运行存储在存储器420中的软件程序、指令以及模块,从而执行计算机设备的各种功能应用以及数据处理,即实现上述方法实施例的一种信噪比估计方法,即:
获取接收机接收到的扩频复信号,所述扩频复信号为恒幅信号;
对所述扩频复信号进行解扩处理,得到与所述扩频复信号对应的解扩信号;
其中,所述扩频复信号和所述解扩信号为采样信号,分别包括多个样点信号;
根据所述解扩信号中样点信号的信号幅度信息,确定与所述解扩信号匹配的有用信号功率;
根据所述扩频复信号的总功率,以及所述有用信号功率,估计所述扩频复信号的信噪比。
存储器420可以包括存储程序区和存储数据区,其中,存储程序区可存储操作系统、至少一个功能所需要的应用程序;存储数据区可存储根据计算机设备的使用所创建的数据等。此外,存储器420可以包括高速随机存取存储器,还可以包括非暂态性存储器,例如至少一个磁盘存储器件、闪存器件、或其他 非暂态性固态存储器件。在一些实施例中,存储器420可选包括相对于处理器410远程设置的存储器,这些远程存储器可以通过网络连接至终端设备。上述网络的实例可以包括互联网、企业内部网、局域网、移动通信网及其组合。
输入装置430可用于接收输入的数字或字符信息,以及产生与计算机设备的用户设置以及功能控制有关的键信号输入。输出装置440可包括显示屏等显示设备。
实施例五
本申请实施例五提供了一种计算机可读存储介质,其上存储有计算机程序,该程序被处理器执行时实现如本申请实施例提供的一种信噪比估计方法:
获取接收机接收到的扩频复信号,所述扩频复信号为恒幅信号;
对所述扩频复信号进行解扩处理,得到与所述扩频复信号对应的解扩信号;其中,所述扩频复信号和所述解扩信号为采样信号,分别包括多个样点信号;
根据所述解扩信号中样点信号的信号幅度信息,确定与所述解扩信号匹配的有用信号功率;
根据所述扩频复信号的总功率,以及所述有用信号功率,估计所述扩频复信号的信噪比。
可以采用一个或多个计算机可读的介质的任意组合。计算机可读介质可以是计算机可读信号介质或者计算机可读存储介质。计算机可读存储介质例如可以是电、磁、光、电磁、红外线、或半导体的系统、装置或器件,或者任意以上的组合。计算机可读存储介质的例子(非穷举的列表)包括:具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、光纤、便携式紧凑磁 盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。在本申请中,计算机可读存储介质可以是任何包含或存储程序的有形介质,该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。
计算机可读的信号介质可以包括在基带中或者作为载波一部分传播的数据信号,其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式,可以包括电磁信号、光信号或上述的任意合适的组合。计算机可读的信号介质还可以是计算机可读存储介质以外的任何计算机可读介质,该计算机可读介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。
计算机可读介质上包含的程序代码可以用任何适当的介质传输,可以包括无线、电线、光缆、RF等等,或者上述的任意合适的组合。
可以以一种或多种程序设计语言或其组合来编写用于执行本申请操作的计算机程序代码,所述程序设计语言包括面向对象的程序设计语言—诸如Java、Smalltalk、C++,还包括常规的过程式程序设计语言—诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中,远程计算机可以通过任意种类的网络——包括局域网(LAN)或广域网(WAN)—连接到用户计算机,或者,可以连接到外部计算机(例如利用因特网服务提供商来通过因特网连接)。
本申请实施例的技术方案通过获取接收机接收到的扩频复信号;对扩频复信号进行解扩处理,得到与扩频复信号对应的解扩信号;根据解扩信号中样点 信号的信号幅度信息,确定与解扩信号匹配的有用信号功率;根据扩频复信号的总功率,以及有用信号功率,估计扩频复信号的信噪比,提供了一种估计信噪比的新方式,解决了相关技术中军事通信系统或者物联网通信系统中存在的SNR的估计问题,实现了降低SNR估计的运算复杂度的效果。
Claims (10)
- 一种信噪比估计方法,包括:获取接收机接收到的扩频复信号,所述扩频复信号为恒幅信号;对所述扩频复信号进行解扩处理,得到与所述扩频复信号对应的解扩信号;其中,所述扩频复信号和所述解扩信号为采样信号,所述扩频复信号和所述解扩信号分别包括样点信号;根据所述解扩信号中所述样点信号的信号幅度信息,确定与所述解扩信号匹配的有用信号功率;根据所述扩频复信号的总功率,以及所述有用信号功率,估计所述扩频复信号的信噪比。
- 根据权利要求1所述的方法,在根据所述扩频复信号的总功率,以及所述有用信号功率,估计所述扩频复信号的信噪比之后,所述方法还包括:基于所述扩频复信号的信噪比小于预设信噪比阈值的判断结果,对与所述扩频复信号匹配的通信系统进行调整。
- 根据权利要求1所述的方法,其中,根据所述扩频复信号的总功率,以及所述有用信号功率,估计所述扩频复信号的信噪比,包括:根据所述扩频复信号与扩频采用的本地扩频信号之间的关联关系,获取所述有用信号功率的补偿项;根据所述总功率、所述有用信号功率以及所述补偿项,估计所述扩频复信号的信噪比。
- 根据权利要求3所述的方法,其中,根据所述扩频复信号与扩频采用的本地扩频信号之间的关联关系,获取所述有用信号功率的补偿项,包括:获取所述扩频复信号的循环左移一位信号和循环右移一位信号;将所述循环左移一位信号和所述循环右移一位信号分别与扩频采用的本地 扩频信号进行相关运算;根据所述相关运算的运算结果中的信号幅度信息,确定所述有用信号功率的补偿项。
- 根据权利要求1所述的方法,其中,对所述扩频复信号进行解扩处理,得到与所述扩频复信号对应的解扩信号,包括:获取扩频采用的本地扩频信号的共轭信号;根据所述共轭信号对所述扩频复信号进行解扩处理,得到与所述扩频复信号对应的解扩信号。
- 根据权利要求1所述的方法,其中,根据所述解扩信号中所述样点信号的信号幅度信息,确定与所述解扩信号匹配的有用信号功率,包括:确定所述解扩信号中所述样点信号的平均值;将所述解扩信号中所述样点信号的平均值模的平方值作为所述有用信号功率。
- 根据权利要求1所述的方法,在根据所述扩频复信号的总功率,以及所述有用信号功率,估计所述扩频复信号的信噪比之后,所述方法还包括:估计至少一个扩频复信号对应的信噪比;根据每个信噪比确定扩频的信噪比。
- 一种信噪比估计装置,包括:扩频复信号获取模块,被配置为获取接收机接收到的扩频复信号,所述扩频复信号为恒幅信号;解扩处理模块,被配置为对所述扩频复信号进行解扩处理,得到与所述扩频复信号对应的解扩信号;其中,所述扩频复信号和所述解扩信号为采样信号,所述扩频复信号和所述解扩信号分别包括样点信号;有用信号功率确定模块,被配置为根据所述解扩信号中所述样点信号的信号幅度信息,确定与所述解扩信号匹配的有用信号功率;信噪比估计模块,被配置为根据所述扩频复信号的总功率,以及所述有用信号功率,估计所述扩频复信号的信噪比。
- 一种电子设备,包括:处理器;存储装置,用于存储程序,当所述程序被所述处理器执行,使得所述处理器实现如权利要求1-7任一项所述的信噪比估计方法。
- 一种计算机可读存储介质,所述计算机可读存储介质上存储有计算机程序,所述计算机程序被处理器执行时实现如权利要求1-7任一项所述的信噪比估计方法。
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