基于多级维纳滤波的MIMO雷达自适应脉冲压缩方法

自适应脉冲压缩能够有效抑制MIMO雷达发射波形间的互干扰。该文提出了一种基于多级维纳滤波器(MSWF)的MIMO雷达自适应脉冲压缩方法，该方法利用多级维纳滤波器的前后向递推系数计算脉冲压缩滤波器的权系数。与基于最小均方误差(MMSE)的自适应脉冲压缩方法相比，该方法无需对观测数据的协方差矩阵进行估计和求逆，大大降低了计算复杂度。计算机仿真结果表明，该方法具有与MMSE自适应脉冲压缩方法和广义旁瓣相消(GSC)自适应脉冲压缩方法相近的脉冲压缩性能。

Adaptive Pulse Compression of MIMO Radar Based on MSWF

Adaptive Pulse Compression (APC) can effectively mitigate the mutual interference between the transmitting waveforms of Multiple-Input Multiple-Output (MIMO) radar. In this paper, APC of MIMO radar based on Multi-Stage Wiener Filter (MSWF) is proposed, in which, the weights of forward and backward recursion of MSWF are computed to obtain the weight coefficients of the APC. The proposed method does not involve the estimate and the inverse of the sample covariance matrix, thus indicating much lower computation complexity. The numerical results indicate that the proposed method is superior to the conventional matched filter, and performs similarly as the APC based on MMSE and GSC.