SAR interference signal feature vector extraction and simulation based on wavelet packet analysis

This paper studies the use of wavelet analysis method to realize the non-coherent narrow-band SAR radar signal interference suppression. Based on the full study of Irregular wavelet tree in interference detection and filtering, an adaptive filter using wavelet packet decomposition to extract the interference signal feature vector has been proposed. Simulation experiments based on this method have been carried out, by using SNR improvement, interference rejection ratio, signal distortion and other evaluation criteria to evaluate the results of interference suppression, the results show that the effect of wavelet packet filtering interference suppression is good.