Selecting a reduced-rank transformation for STAP-a direct form perspective

Author

Berger, Scott D. ; Welsh, Byron M.

Author_Institution

Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA

Volume

35

Issue

2

fYear

1999

fDate

4/1/1999 12:00:00 AM

Firstpage

722

Lastpage

729

Abstract

We introduce the signal-to-interference plus noise ratio (SINR) metric as a tool for selecting a rank reduction transformation that maximizes the output SINR of a direct form space-time adaptive processor. The SINR metric is used to identify the eigenvectors with the greatest impact on the output SINR which become the columns of the rank reduction transformation. The SINR metric method exhibits a graceful degradation in performance as the rank of the transformation approaches one

Keywords

adaptive radar; array signal processing; correlation methods; eigenvalues and eigenfunctions; filtering theory; interference suppression; radar signal processing; space-time adaptive processing; SINR metric; correlation matrix; cost function concept; degradation in performance; direct form perspective; eigenvectors identification; rank reduction transformation; reduced-rank transformation; signal-to-interference plus noise ratio; space-time adaptive processing; steering vector; Computational efficiency; Cost function; Degradation; Eigenvalues and eigenfunctions; Government; Interference; Noise reduction; Protection; Signal processing; Signal to noise ratio;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.766952

Filename

766952