A Novel Algorithm For Radar Target Feature Extraction

Due to the aspect sensitivity of High Resolution Range Profile (HRRP), traditional radar target recognition methods usually use average HRRP within some aspect region. Actually, the amplitude fluctuation property of HRRPs also represents some feature information of target.According to the scattering center model, a new feature extraction method using the amplitude fluctuation property of HRRPs is proposed in this paper. The new algorithm mainly extracts the features of the effective distance unit according to the distribution of the target scattering points to improve the recognition efficiency.The experimental results based on the SVM classifier show that the novel feature extraction method can improve recognition performances greatly .