Automatic Generation of High Range Resolution Profiles Models for Radar Recognition

The completeness of template directly determines the classification performance of automatic radar target recognition system based on high resolution range profiles (HRRP). It’s difficult to get HRRP training data labeled accurately covering the entire targetaspect angle because of a lot of practical factors in the field experiments， such as target attitude， environment and so on. According to the demand of engineering practical development， the dissertation proposes an algorithm of automatic generation of HRRP template based on data driving means. The proposed approach can be realized much easier with better recognition performance， comparing with the traditional approach. The dissertation puts forward a new HRRP inversion method based on MSTAR image to get more precise HRRP using in cyberemulation. At last，the result of the experiments proves the algorithm.