中国电子科技2008，Vol.6Issue(1)：75-78,4.
Improved Multistage Wiener Filters in Nonhomogeneous Clutter Environments
Improved Multistage Wiener Filters in Nonhomogeneous Clutter Environments
摘要
Abstract
A new method combining space-time preprocessing with multistage Wiener filters (STPMWF) is proposed to improve the performance of space-time adaptive processing (STAP) in nonhomogeneous clutter scenario. The new scheme only requires the data from the primary range bin, thus it can suppress discrete interferers efficiently, without calculating the inverse of covariance matrix. Comparing to the original MWF approach, the proposed scheme can be regarded as practical solutions for robust and effective STAP of nonhomogeneous radar data. The theoretical analysis shows that our STPMWF is simple in implementation and fast in convergence. The numeric results by using simulated data exhibit a good agreement with the proposed theory.关键词
Airborne early warning (AEW) radar, clutter suppress, multistage Wiener filters (MWF), nonhomogeneous clutter, space-time adaptive processing (STAP)Key words
Airborne early warning (AEW) radar, clutter suppress, multistage Wiener filters (MWF), nonhomogeneous clutter, space-time adaptive processing (STAP)分类
信息技术与安全科学引用本文复制引用
Bin Tang,Xue-Gang Wang,Ke-Song Chen..Improved Multistage Wiener Filters in Nonhomogeneous Clutter Environments[J].中国电子科技,2008,6(1):75-78,4.基金项目
This work was supported by the National Nature Science Foundation of China under Grant No. 60702070. （）
