Abstract
To analyze and estimate the parameters of Frequency-Hopping(FH) signals effectively,an adaptive time-frequency analytical method was proposed according to the characteristics of FH signal spectrogram and Wigner-Ville Didtribution(WVD).The width of window function for spectrogram was selected based on entropy measure so as to obtain optimal spectrogram representation of FH signal.The theoretical analysis and simulation results show that the spectrum analytical method based on entropy measure could give accurate estimation of the hopping cycle of FH signal under the white Gaussian noise environment of greater than 0 dB.Compared with Smoothed Pseudo WVD(SPWVD) and its adaptive method,the proposed method can effectively reduce the variance and improve the accuracy of parameter estimation at low Signal-to-Noise Ratio(SNR).While for long observation signal,it owns faster operation speed.
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