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

fYear

1998

Firstpage

177

Lastpage

182

Abstract

In this paper 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 radar space-time adaptive processor. The SINR metric is used to identify the eigenvectors with the highest SINR metric 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; adaptive signal processing; array signal processing; eigenvalues and eigenfunctions; matrix decomposition; radar interference; radar signal processing; SINR metric; STAP; direct form perspective; eigenvectors; radar signal processing; rank reduction transformation; reduced-rank transformation; signal-to-interference plus noise ratio; space-time adaptive processing; Adaptive arrays; Degradation; Integrated circuit noise; Interference cancellation; Matrices; Noise reduction; Radar antennas; Signal to noise ratio; Space technology; Spaceborne radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference, 1998. RADARCON 98. Proceedings of the 1998 IEEE

Conference_Location

Dallas, TX

Print_ISBN

0-7803-4492-8

Type

conf

DOI

10.1109/NRC.1998.677997

Filename

677997