The Research on Frequency-Hopping Signals Analysis Methods Based on Adaptive Optimal Kernel Time-Frequency Representation

It is inevitable to be interfered by cross-term interference when frequency-hopping signal parameters are estimated using time-frequency distribution, how to curb cross-term signal interference has become a main problem of time-frequency analysis. Based on studying of adaptive optimal kernel time-frequency representation (AOK TFR) , a new time-frequency method is put forward. This kind of AOK TFR can tune its kernel ambiguity function shape by two- dimensional optimization procedure according to the characteristics of the analyzed signal. A frequency-hopping signal is analyzed with four time-frequency analysis methods, and simulation results used AOK TFR shows that better time- frequency and adaptability are obtained, and anti-noise and cross-term interference are represented.