一种数据选择多级维纳滤波算法

A sample selection multistage Wiener filter

针对阵列信号自适应处理器收敛性能会由于目标类型干扰影响显著恶化的问题,提出一种采样数据选择算法,可以有效抑制干扰信号对自适应滤波器性能的影响。通过对多级维纳滤波器采用数据选择算法后,显著提高了其抗干扰能力和在非平稳、非高斯环境下的快收敛性能。最后通过实验仿真验证了此算法的有效性。

This paper concerned with the problem that the convergence ability of array signal processor is deteriorated under the condition of the main channel target - liker outlier. A sample selection process was discussed, which is efficient to restrain the deterioration of the convergence ability. By applying the sample selection （SS） to MSWF, enhanced the convergence ability notable, and reached the optimal result closely. In addition, simulation result showed the success of applying SS to MSWF.