Parameter estimation method for time-frequency aliasing frequency hopping signal

A technology of frequency hopping signal and parameter estimation, applied in the field of signal processing

Active Publication Date: 2020-11-13
UNIT 63892 OF PLA
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Problems solved by technology

[0008] Aiming at the problem of parameter estimation of single-channel time-frequency aliasing and frequency-hopping signals in complex electromagnetic environments in broadband reception, the purpose of the present invention is to provide a parameter of time-frequency aliasing and frequency-hopping signals based on sparse linear regression and quadratic envelope optimization Estimation method, for the scenario where each source signal is aliased in the

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  • Parameter estimation method for time-frequency aliasing frequency hopping signal
  • Parameter estimation method for time-frequency aliasing frequency hopping signal
  • Parameter estimation method for time-frequency aliasing frequency hopping signal

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[0119] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0120] Such as Figure 1-16 As shown, a parameter estimation method of a time-frequency aliasing frequency hopping signal, which includes the following specific steps:

[0121] S1. Convert the time-frequency aliasing signal f(t) under single-channel reception to the time-frequency domain using the short-time Fourier transform STFT, and the obtained time-frequency domain signal coefficient is expressed as F(t, f); the process is :

[0122]

[0123] Among them, f(t) represents the observed signal, A∈R 1×n is a one-dimensional observation matrix, s(t) represents the source signal, and v(t) represents the additive noise; here it is assumed that in the non-cooperative asynchronous reception scenario, the source signals are independent between the transmitters;

[0124] In the observation time [0, T], set the frequenc...

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Abstract

The invention discloses a parameter estimation method for a time-frequency aliasing frequency hopping signal, and the method comprises the steps: converting a time-frequency aliasing signal received by a single channel into a time-frequency domain through short-time Fourier transform, and obtaining a time-frequency domain signal; performing background noise removal and signal distortion feature processing on the time-frequency domain signal by using a matrix optimization algorithm based on sparse linear regression; utilizing a parameter estimation algorithm based on secondary envelope optimization to remove partial interference signal features and abnormal points of the time-frequency domain signal, and extracting an average time-frequency ridge line of the optimized time-frequency domainsignal to perform smoothing processing; performing inflection point detection on the average time-frequency ridge line, and performing time-frequency domain mapping on the detected inflection point tocomplete frequency hopping period estimation of the frequency hopping signal; and on the basis of frequency hopping period estimation, completing frequency point estimation of the frequency hopping signal based on an optimization method of Hough transform. According to the invention, complete recovery of frequency hopping signals and high-precision estimation of parameters can be realized for thescene of aliasing of each source signal in the time domain and the frequency domain.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to a method for estimating parameters of time-frequency aliasing and frequency-hopping signals. Background technique [0002] Frequency hopping spread spectrum signals are widely used in military and commercial communication fields due to their low intercept probability, good anti-interference performance, good confidentiality, safety and reliability, etc., but they also bring severe challenges to electronic reconnaissance. In electronic reconnaissance technology, signal detection and parameter estimation are usually required to complete signal reconnaissance. Correctly estimating the signal parameters of frequency hopping is one of the important components of signal de-hopping. Therefore, it is of great significance to study the detection and parameter estimation of frequency hopping signals. [0003] The parameter estimation of frequency hopping signals in different app...

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Application Information

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IPC IPC(8): H04B1/713H04B1/715H04L25/02
CPCH04B1/713H04B1/715H04L25/0202H04L25/024
Inventor 刘志鹏汪连栋冯蕴天刘晓光许雄陈翔
Owner UNIT 63892 OF PLA
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