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CN-119675800-B - Signal processing method, device, equipment, chip and medium

CN119675800BCN 119675800 BCN119675800 BCN 119675800BCN-119675800-B

Abstract

The disclosure provides a signal processing method, a device, equipment, a chip and a medium, wherein the signal processing method comprises the steps of obtaining first time domain data of a target signal, determining total power and discrete information of the target signal according to the first time domain data, wherein the discrete information is used for describing the discrete degree of the target signal, and determining a target signal-to-noise ratio according to the total power and the discrete information of the target signal. The method solves the technical problems of lower signal processing efficiency and relatively consuming system resources in the prior art.

Inventors

  • WANG XINZHENG

Assignees

  • 北京玄戒技术有限公司

Dates

Publication Date
20260508
Application Date
20241128

Claims (13)

  1. 1. A signal processing method, comprising: Acquiring first time domain data of a target signal; Determining the total power of the target signal and discrete information according to the first time domain data, wherein the discrete information is used for describing the discrete degree of the target signal, the total power comprises the power of an actual signal carried by the target signal and the power of noise in the target signal, and Determining the noise power of the target signal according to the discrete information; judging whether the total power is smaller than or equal to the noise power or not to obtain a reference result; Determining the signal power according to the noise power and the first time domain data when the reference result is that the total power is less than or equal to the noise power; And determining a target signal-to-noise ratio according to the total power, the signal power and the noise power.
  2. 2. The method of claim 1, wherein said determining the total power and discrete information of the target signal from the first time domain data comprises: Determining the actual sampling point number of the target signal; Processing the first time domain data according to the actual sampling points to obtain the total power; And processing the first time domain data according to a first sampling point number to obtain the discrete information, wherein the first sampling point number is smaller than or equal to the actual sampling point number.
  3. 3. The method of claim 2, wherein processing the first time domain data according to a first number of sampling points to obtain the discrete information comprises: extracting a plurality of sample data from the first time domain data according to the first sampling points; Determining a sample mean of the plurality of sample data; And determining a sample variance according to the plurality of sample data and the sample mean value, and determining the sample variance as the discrete information.
  4. 4. The method of claim 1, wherein said determining a signal power based on said reference result, said total power and said noise power further comprises: And in the case that the reference result is that the total power is larger than the noise power, making a difference between the total power and the noise power, and determining the result of the difference as the signal power.
  5. 5. The method of claim 4, wherein said determining said signal power from said noise power and said first time domain data comprises: Zero padding is carried out on the first time domain data according to second sampling points, so that second time domain data is obtained, wherein the second sampling points are larger than or equal to actual sampling points of the target signal; performing frequency domain transformation on the second time domain data according to the second sampling points to obtain first frequency domain data; performing cyclic shift on the first frequency domain data according to the second sampling points to obtain second frequency domain data; And processing the second frequency domain data according to the actual sampling points, the second sampling points, a first boundary value and a second boundary value to obtain the signal power, wherein the first boundary value is smaller than the second boundary value.
  6. 6. The method of claim 5, wherein the method further comprises: acquiring the estimated frequency and sampling interval of the target signal; determining a reference boundary value according to the estimated frequency, the sampling interval and the second sampling point number; and determining the first boundary value and the second boundary value according to the reference boundary value.
  7. 7. The method according to any of claims 1-6, wherein said determining said target signal-to-noise ratio from said total power, said signal power and said noise power comprises: determining a first signal-to-noise ratio according to the signal power and the noise power; determining a second signal-to-noise ratio according to the total power and the signal power; and determining a target signal-to-noise ratio according to the first signal-to-noise ratio and the second signal-to-noise ratio.
  8. 8. The method of claim 7, wherein said determining a target signal-to-noise ratio based on said first signal-to-noise ratio and said second signal-to-noise ratio comprises: determining the second signal-to-noise ratio as the target signal-to-noise ratio in the case that the first signal-to-noise ratio is less than a first threshold and the second signal-to-noise ratio is less than a second threshold, wherein the first threshold is less than the second threshold, and/or And determining the first signal-to-noise ratio as the target signal-to-noise ratio when the first signal-to-noise ratio is greater than or equal to the first threshold value or when the second signal-to-noise ratio is greater than or equal to the second threshold value.
  9. 9. A signal processing apparatus, comprising: The acquisition module is used for acquiring first time domain data of the target signal; a first determining module, configured to determine, according to the first time domain data, a total power of the target signal and discrete information, where the discrete information is used to describe a degree of dispersion of the target signal, the total power includes a power of an actual signal carried by the target signal and a power of noise in the target signal, and The second determining module is configured to determine noise power of the target signal according to the discrete information, determine whether the total power is less than or equal to the noise power, obtain a reference result, determine the signal power according to the noise power and the first time domain data when the reference result is that the total power is less than or equal to the noise power, and determine a target signal-to-noise ratio according to the total power, the signal power and the noise power.
  10. 10. A communication device comprising a processor, and a memory communicatively coupled to the processor; The memory stores computer-executable instructions; The processor executes computer-executable instructions stored in the memory to implement the method of any one of claims 1-8.
  11. 11. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1-8.
  12. 12. A computer program product comprising a computer program which, when executed by a processor, implements the method of any of claims 1-8.
  13. 13. A chip comprising processing circuitry, interface circuitry, wherein the interface circuitry is to read instructions, the interface circuitry to send the instructions to the processing circuitry to cause the processing circuitry to perform the method of any of claims 1-8.

Description

Signal processing method, device, equipment, chip and medium Technical Field The disclosure relates to the field of communication technologies, and in particular, to a signal processing method, a device, equipment, a chip and a medium. Background In some versions of communication protocols (e.g., bluetooth protocols), an indicator, such as Signal-to-Noise Ratio (SNR), characterizing the quality of the Signal estimate needs to be fed back during processing of the Signal. The SNR can reflect the quality of the signal, and the higher the SNR, the more reliable the signal is, and when other parameters (e.g., frequency or phase) are further estimated using the signal, the accuracy of the other parameter estimation can be ensured. While a lower SNR indicates a less reliable signal. In the related art, it is generally necessary to estimate the frequency, phase and amplitude of a signal at the same time, and process to obtain SNR using the estimated frequency, phase and amplitude. In this way, the signal processing efficiency is lower, and the system resource is consumed. Disclosure of Invention The present disclosure aims to solve, at least to some extent, one of the technical problems in the related art. Therefore, the disclosure provides a signal processing method, a device, a communication device, a chip and a storage medium, so as to improve the signal processing efficiency and save system resources. An embodiment of a first aspect of the present disclosure provides a signal processing method, including obtaining first time domain data of a target signal, determining total power and discrete information of the target signal according to the first time domain data, wherein the discrete information is used for describing a degree of dispersion of the target signal, and determining a target signal-to-noise ratio according to the total power and the discrete information of the target signal. An embodiment of a second aspect of the present disclosure provides a signal processing apparatus, including an acquisition module configured to acquire first time domain data of a target signal, a first determination module configured to determine total power and discrete information of the target signal according to the first time domain data, where the discrete information is used to describe a degree of dispersion of the target signal, and a second determination module configured to determine a target signal-to-noise ratio according to the total power and the discrete information of the target signal. An embodiment of a third aspect of the present disclosure provides a communication device, including a processor, and a memory communicatively connected to the processor, where the memory stores computer-executable instructions, and where the processor executes the computer-executable instructions stored in the memory to implement a signal processing method as set forth in an embodiment of the first aspect of the present disclosure. An embodiment of a fourth aspect of the present disclosure provides a chip, where the chip includes a processing circuit and an interface circuit, and the interface circuit is configured to read an instruction, and the interface circuit sends the instruction to the processing circuit, so that the processing circuit executes a signal processing method as provided in an embodiment of the first aspect of the present disclosure. An embodiment of a fifth aspect of the present disclosure proposes a computer-readable storage medium having stored therein computer-executable instructions for implementing a signal processing method as described above when executed by a processor. The signal processing method, the device, the communication equipment, the chip and the storage medium provided by the disclosure are used for determining the total power and the discrete information of the target signal according to the first time domain data by acquiring the first time domain data of the target signal, wherein the discrete information is used for describing the discrete degree of the target signal, and determining the target signal to noise ratio according to the total power and the discrete information of the target signal. The time domain data of the signal is analyzed and processed to determine the total power and the discrete information of the target signal, and the total power and the discrete information of the target signal are combined to realize the target signal-to-noise ratio of the estimated signal, so that the phase and the amplitude of the target signal do not need to be estimated in the signal processing process. Additional aspects and advantages of the disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the disclosure. Drawings The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodim