Estimation method for frequency hopping signal parameter extracted based on signal time-frequency image information

Abstract

The invention discloses an estimation method for a frequency hopping signal parameter extracted based on signal time-frequency image information. The estimation method includes the step of a signal-received model building, wherein frequency interference and outburst interference and stray noise are removed and handled by a morphological method. The method also includes the steps of skip cycles estimating for the barycenter of the processed gray level time-frequency and fixed frequency interference removing for the time-frequency image according to the skip cycles estimation result, wherein the time-frequency ridge difference sequence of the processed time-frequency images is extracted and optimized and take-of time and the frequency of hopping frequency are estimated according to the optimized time-frequency ridge difference sequence. The parameter estimation of the frequency hopping signal is finished. The invention has the advantages of removing the influence brought by the interference signal, the random jam signal, the stray noise and the fixed frequency interference signal with power fluctuation, realizing the effective estimation for the hopping cycle, and the take-off time and the frequency of hopping frequency.

Description

technical field [0001] The invention relates to the communication field, in particular to a frequency hopping signal parameter estimation method based on signal time-frequency image information extraction. Background technique [0002] As an effective means of anti-jamming communication, frequency hopping communication has been widely used in modern military communication systems. As a third party in non-cooperative communication, frequency hopping signal parameter estimation is a key link in communication reconnaissance. Frequency hopping signal parameter estimation refers to estimating the hopping period, take-off time and frequency hopping of the frequency hopping signal without any prior knowledge. frequency. However, there are various strong interference signals in the actual electromagnetic environment, and the frequency of the interference signal usually collides with the frequency of the frequency hopping signal. In a strong interference environment, how to find a ...

AI Technical Summary

Problems solved by technology

However, there are usually various interference signals in the frequency hopping signal received by the receiver, such as fixed frequency signal, frequency sweep signal, random burst signal, etc. When using time-frequency analysis to estimate the parameters of the frequency hopping signal, these Interference can have a large impact and even render the original method useless

Some existing literatures apply the ideas of power spectrum cancellation and mathematical morphology to the parameter estimation of frequency hopping signals, and successfully filter out the noise and interference in frequency hopping signals. However, these methods are only applicable to the frequency of interference signals There is no collision with the frequency of the frequency hopping signal and the power of the fixed frequency interference signal is relatively stable

In view of the fact that the power of the fixed-frequency interference signal fluctuates and the frequency collides with the frequency-hopping signal in the real environment, the existing methods cannot effectively realize the parameter estimation of the frequency-hopping signal

Images