Improved Multistage Wiener Filters in Nonhomogeneous Clutter Environments |
| |
Authors: | Bin Tang Xue-Gang Wang Ke-Song Chen |
| |
Affiliation: | School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China |
| |
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. |
| |
Keywords: | Airborne early warning (AEW) radar clutter suppress multistage Wiener filters (MWF) nonhomogeneous clutter space-time adaptive processing (STAP) |
本文献已被 CNKI 维普 万方数据 等数据库收录! |