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This paper addresses the problem of automatic radar target recognition using high-resolution range profile (HRRP). We develop a t-mixture model (TMM) to model radar echoes from each target as the t-distribution forms. Estimation of the model parameters is achieved using a modified expectation-maximization (EM), i.e., fuzzy EM (FEM) algorithm. Numerical simulation results show that the proposed approach can achieve good performance of robustness and higher recognition rate. It is helpful for real-time identification and the engineering implements of automatic target recognition using HRRP

The T-Mixture Model Approach for Radar HRRP Target Recognition