Application of the wavelet rearrangement algorithm in the detection of noncooperative frequency hopping signals

How to get good time-frequency distribution of the noncooperative frequency hopping (FH) signals is crucial to detect and trace the FH signals. In the paper, the noncooperative FH signal model is given firstly, then the principles and properties of the noncooperative FH signal detection based on the rearrangement algorithm of the Morlet wavelet scale spectrum are discussed in detail, and finally through the computer simulation analysis, it's proved that the rearrangement algorithm not only has ideal anti-interference effect, but also improves the time-frequency aggregation performance of the FH signals aiming to implement the blind estimation of the FH signal parameters accurately.