Parameter Jointly Estimation Algorithm in Bistatic MIMO Radar under Impulsive Noise Environment Based on Maximum Correntropy Criterion
LI Li① QIU Tianshuang②
①(Information Engineering College, Dalian University, Dalian 116622, China) ②(Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China)
By employing the Maximum Correntropy Criterion (MCC) based cost function in PARAllel FACtor (PARAFAC), the MCC-PARAFAC algorithm is deduced, which can be utilized for the parallel factor under impulsive noise environments. The MCC-PARAFAC algorithm is applied to parameter estimation in bistatic MIMO radar under impulsive noise environment. The proposed method can suppress the impulse noise interference and has better estimation performance. Furthermore, the estimated parameters are automatically paired without the additional pairing method. Simulation results verify the effectiveness of the proposed method.
李丽,邱天爽. 冲激噪声环境下基于最大相关熵准则的双基地 MIMO雷达目标参数联合估计算法[J]. 电子与信息学报, 2016, 38(12): 3189-3196.
LI Li, QIU Tianshuang. Parameter Jointly Estimation Algorithm in Bistatic MIMO Radar under Impulsive Noise Environment Based on Maximum Correntropy Criterion. JEIT, 2016, 38(12): 3189-3196.
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