CN-122001725-A - Signal-to-noise ratio estimation method, device, equipment, chip and chip module of frequency modulation signal

CN122001725ACN 122001725 ACN122001725 ACN 122001725ACN-122001725-A

Abstract

The application relates to a signal-to-noise ratio estimation method, a device, equipment, a chip and a chip module of a frequency modulation signal, which performs frequency domain conversion on the time domain frequency modulation signal under the condition of receiving the time domain frequency modulation signal transmitted by a satellite, and obtaining energy distribution information of the time domain frequency modulation signal in a frequency domain, separating the useful signal from the noise signal according to the energy distribution information, and determining a target signal-to-noise ratio of the frequency modulation signal according to a signal separation result. In the method, the aliasing signals and noise are unfolded in the frequency dimension through frequency domain conversion, and the energy distribution of the aliasing signals and the noise is clearly presented by utilizing the inherent difference of the aliasing signals and the noise in the frequency domain energy distribution. And then separation is carried out based on the frequency domain energy distribution information, so that the frequency band energy concentrated by the useful signals can be more accurately identified and extracted, and the accuracy of signal-to-noise ratio estimation is effectively improved.

Inventors

ZHOU MINGFU
TANG JIAN
WANG YUANCHEN
HU LEI
WANG JIE
LV FENGRONG
GUO YUCHENG

Assignees

紫光展锐(重庆)科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260318

Claims (10)

1. A method for estimating the signal-to-noise ratio of a frequency modulated signal, the method comprising: under the condition of receiving a time domain frequency modulation signal transmitted by a satellite, performing frequency domain conversion on the time domain frequency modulation signal to obtain energy distribution information of the time domain frequency modulation signal in a frequency domain; And separating the useful signal from the noise signal according to the energy distribution information, and determining the target signal-to-noise ratio of the frequency modulation signal according to a signal separation result.
2. The method according to claim 1, wherein the performing frequency domain conversion on the time domain fm signal to obtain energy distribution information of the time domain fm signal in a frequency domain includes: Performing energy compression processing on the time domain frequency modulation signal to obtain an energy compressed signal; performing frequency domain conversion on the energy compressed signal to obtain a frequency domain complex sequence; and determining the energy distribution information according to the frequency domain complex sequence.
3. The method of claim 2, wherein the energy compressing the time domain fm signal to obtain an energy compressed signal comprises: Converting the analog time domain frequency modulation signal into a digital time domain frequency modulation signal, and generating an ideal reference signal synchronous with the digital time domain frequency modulation signal; and carrying out energy compression processing on the digital time domain frequency modulation signal according to the ideal reference signal to obtain the energy compressed signal.
4. A method according to claim 3, wherein said energy compressing said digital time domain fm signal based on said ideal reference signal to obtain said energy compressed signal comprises: performing a de-chirp operation on the digital time domain frequency modulation signal according to the ideal reference signal to obtain a de-chirp sequence; inquiring a corresponding target window function from a preset window function library according to a preset signal-to-noise ratio, wherein the preset window function library comprises a corresponding relation between signal-to-noise ratio intensity and window functions, and the preset signal-to-noise ratio is updated by the target signal-to-noise ratio obtained by the previous estimation; and windowing the de-chirp sequence according to the target window function to obtain the energy compressed signal.
5. The method according to any one of claims 1-4, wherein said separating the useful signal from the noise signal based on the energy distribution information and determining the target signal-to-noise ratio of the frequency modulated signal based on the signal separation result comprises: Determining a useful signal domain and a noise signal domain according to the energy distribution information, wherein the energy distribution information comprises a corresponding relation between a frequency point and a power value; determining the total power of signals according to the power values of all frequency points in the useful signal domain, and determining the total power of noise and the average power spectral density of noise according to the power values of all frequency points in the noise signal domain; And determining the target signal-to-noise ratio according to the signal domain width of the useful signal domain, the total signal power, the total noise power and the average noise power spectral density.
6. The method of claim 5, wherein said determining a useful signal domain and a noise signal domain from said energy distribution information comprises: determining a total frequency point domain according to all frequency points in the energy distribution information; determining a target frequency point corresponding to the maximum energy value from the energy distribution information; and determining a useful signal domain according to the position of the target frequency point and the position of a preset frequency point, and determining the area except the useful signal domain in the total frequency point as the noise signal domain.
7. A signal-to-noise ratio estimation device for a frequency modulated signal, the device comprising: the conversion module is used for carrying out frequency domain conversion on the time domain frequency modulation signal under the condition of receiving the time domain frequency modulation signal transmitted by the satellite, so as to obtain energy distribution information of the time domain frequency modulation signal in a frequency domain; And the estimation module is used for separating the useful signal from the noise signal according to the energy distribution information and determining the target signal-to-noise ratio of the frequency modulation signal according to a signal separation result.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A chip comprising a processor and a communication interface, the processor being configured to cause the chip to perform the steps of the method of any one of claims 1 to 6.
10. The utility model provides a chip module, its characterized in that includes communication module, power module, storage module and chip, wherein: the power supply module is used for providing electric energy for the chip module; the storage module is used for storing data and instructions; the communication module is used for carrying out internal communication of the chip module or carrying out communication between the chip module and external equipment; The chip being for performing the steps of the method of any one of claims 1 to 6.

Description

Signal-to-noise ratio estimation method, device, equipment, chip and chip module of frequency modulation signal Technical Field The present application relates to the field of communications technologies, and in particular, to a method, an apparatus, a device, a chip, and a chip module for estimating a signal-to-noise ratio of a frequency modulated signal. Background With the rapid development of satellite communication technology, especially the popularization of emerging applications such as low-orbit satellite internet of things, a linear High-INTENSITY RADAR Pulse (Chirp) signal is widely applied to various satellite communication systems due to its good anti-doppler shift and anti-interference properties. Accurate estimation of Signal-to-Noise Ratio (SNR) of a Chirp Signal is critical to achieving key functions such as link adaptation, power control and switching decision, and directly affects reliability and energy efficiency of a communication system. However, the signal-to-noise ratio estimation method of the chirp signal described in the related art has a problem of inaccurate estimation. Disclosure of Invention Based on this, it is necessary to provide a signal-to-noise ratio estimation method, device, equipment, chip and chip module for a fm signal, which can improve the accuracy of signal-to-noise ratio estimation. In a first aspect, the present application provides a signal-to-noise ratio estimation method for a frequency modulated signal, the method comprising: Under the condition of receiving a time domain frequency modulation signal transmitted by a satellite, performing frequency domain conversion on the time domain frequency modulation signal to obtain energy distribution information of the time domain frequency modulation signal in a frequency domain; And separating the useful signal from the noise signal according to the energy distribution information, and determining the target signal-to-noise ratio of the frequency modulation signal according to the signal separation result. In some embodiments, performing frequency domain conversion on the time domain frequency modulation signal to obtain energy distribution information of the time domain frequency modulation signal in the frequency domain, including: Performing energy compression processing on the time domain frequency modulation signal to obtain an energy compressed signal; Performing frequency domain conversion on the energy compressed signal to obtain a frequency domain complex sequence; energy distribution information is determined from the sequence of frequency domain complex numbers. In some embodiments, the energy compressing process is performed on the time-frequency modulated signal to obtain an energy compressed signal, including: Converting the analog time domain frequency modulation signal into a digital time domain frequency modulation signal, and generating an ideal reference signal synchronous with the digital time domain frequency modulation signal; and carrying out energy compression processing on the digital time domain frequency modulation signal according to the ideal reference signal to obtain an energy compressed signal. In some embodiments, the energy compressing processing is performed on the digital time domain frequency modulated signal according to the ideal reference signal to obtain an energy compressed signal, including: Performing a de-chirp operation on the digital time domain frequency modulation signal according to the ideal reference signal to obtain a de-chirp sequence; Inquiring a corresponding target window function from a preset window function library according to a preset signal-to-noise ratio, wherein the preset window function library comprises a corresponding relation between signal-to-noise ratio strength and window functions; And windowing the de-chirped sequence according to the target window function to obtain an energy compressed signal. In some embodiments, the method for separating the useful signal from the noise signal according to the energy distribution information and determining the target signal-to-noise ratio of the frequency modulated signal according to the signal separation result comprises: Determining a useful signal domain and a noise signal domain according to the energy distribution information, wherein the energy distribution information comprises a corresponding relation between a frequency point and a power value; Determining the total power of the signal according to the power values of all frequency points in the useful signal domain, and determining the total power of noise and the average power spectral density of the noise according to the power values of all frequency points in the noise signal domain; and determining the target signal-to-noise ratio according to the signal domain width, the total signal power, the total noise power and the average noise power spectral density of the useful signal domain. In some of these embodiments, determining the useful