DocumentCode
1765617
Title
Improving EFA-STAP performance using persymmetric covariance matrix estimation
Author
Yalong Tong ; Tong Wang ; Jianxin Wu
Author_Institution
Xidian Univ., Xi´an, China
Volume
51
Issue
2
fYear
2015
fDate
42095
Firstpage
924
Lastpage
936
Abstract
This paper deals with the estimation of the clutter covariance matrix in airborne radar space-time adaptive processing (STAP). Based on the persymmetry property, a novel STAP method, referred to as persymmetric extended factored processing (Per-EFA), is derived, which can make a more intensive use of the secondary data and improve the STAP performance in training-limited scenarios. Simulation results demonstrate the effectiveness of this method.
Keywords
airborne radar; covariance matrices; radar clutter; radar signal processing; space-time adaptive processing; EFA-STAP performance; Per-EFA; airborne radar space-time adaptive processing; persymmetric clutter covariance matrix estimation; persymmetric extended factored processing; training-limited scenario; Airborne radar; Arrays; Clutter; Covariance matrices; Doppler effect; Estimation;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/TAES.2015.130264
Filename
7126154
Link To Document