基于RMMSE的自适应滤波算法分析

针对扩展目标的高分辨距离像估计问题,在考虑接收窗外强散射中心的影响条件下,研究了以最小均方误差(MMSE)为准则的自适应滤波方法,该算法通过迭代得到各个距离单元上的距离像估计值。文中通过仿真试验分析对比了RMMSE算法、匹配滤波算法和LS算法的性能。仿真结果证明,在接收窗外存在强散射中心的情况下,RMMSE算法能够有效提取目标多个散射中心。

Analysis of Adaptive Filtering Algorithm Based on RMMSE Criteria

In view of the strong out-of-window scatterers, an adaptive filter based on minimum mean square error （MMSE） criteria is employed to estimate the high range resolution profile of the extended target. This approach estimates the amplitudes of each range cell in an iterative way. A simulated performance comparison is made between the Reiterative-MMSE （RMMSE） algorithm and the matched filter and least-squares （LS） algorithm. Simulation re- suits show that the algorithm can estimate the amplitudes of the multiple scatterers effectively.