Radar emitter signal recognition based on wavelet packet transform and feature selection
Weidong Jin · Journal of Circuits and Systems · 2006
To enhance accurate recognition rates of radar emitter signals to meet the requirements of modern electronic warfare,a novel method based on wavelet packet transform and feature selection is proposed to recognize different radar emitter signals.Wavelet packet transform is used to extract features from radar emitter signals.Resemblance coefficient feature selection approach based on quantum genetic algorithm is applied to select the most discriminatory features from a large number of wavelet packet transform features.Simulation experiment results show that the introduced method achieves good accurate recognition rate in terms of a little features as reference.