Multistage partially adaptive STAP CFAR detection algorithm

被引：93
|
作者：
Goldstein, JS
Reed, IR
Zulch, PA
机构：
[1] Univ So Calif, Dept Elect Engn, Los Angeles, CA 90089 USA
[2] USAF, Res Lab, SNRT, Rome, NY 13441 USA
[3] MIT, Lincoln Lab, Cambridge, MA 02139 USA
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 1999年 / 35卷 / 02期
关键词：
D O I：
10.1109/7.766945
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
A new method of partially adaptive constant false-alarm rate (CFAR) detection is introduced. The processor implements a novel sequence of orthogonal subspace projections to decompose the Wiener solution in terms of the cross-correlation observed at each stage. The performance is evaluated using the general framework of space-time adaptive processing (STAP) for the cases of both known and unknown covariance. It is demonstrated that this new approach to partially adaptive STAP outperforms the more complex eigen-analysis approaches using both simulated DARPA Mountain Top data and true pulse-Doppler radar data collected by the MCARM radar.
引用
收藏
页码：645 / 661
页数：17
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