Research on parameter estimation of frequency hopping signals based on time frequency analysis

DOI:	10.11809/bqzbgcxb2023.03.033
Keywords:	frequency hopping signal; parameter estimation; time frequency analysis; global threshold method; morphological filtering
Abstract:	In order to solve the problem that it is difficult to estimate the parameters of frequency hopping signals under the condition of a low signal to noise ratio, this paper proposes a parameter estimation method of frequency hopping signals based on time frequency analysis method. Firstly, time frequency transform is performed on the frequency hopping signals to obtain the time frequency image. The interference of fixed frequency signals is removed by energy cancellation. The global threshold method is used to binarize the image and eliminate the influence of various interference signals by morphological filtering. By solving the first order difference equation through the frequency hopping time array of the time frequency ridge, the estimated value of the frequency hopping period is obtained, and the frequency set of the frequency hopping signals is estimated by k means clustering algorithm. The simulation experiment shows that, under the condition of a low signal to noise ratio, the time frequency image with high definition and parameter estimation with high accuracy can be obtained. The test of the measured signals verifies the practicability of the algorithm.
Published:	2023-03-28
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