A multistage STAP CFAR detection technique

Author

Goldstein, J. Scott ; Reed, I.S. ; Zulch, P.A. ; Melvin, W.L.

Author_Institution

Lincoln Lab., MIT, Lexington, MA, USA

fYear

1998

Firstpage

111

Lastpage

116

Abstract

This paper introduces a new method of partially adaptive CFAR detection. 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 detection performance is evaluated in the general framework of space-time adaptive processing. It is demonstrated that this new approach to partially adaptive CFAR detection outperforms the more complex eigen-analysis approaches using true pulse-Doppler radar data collected by the multichannel airborne radar measurements (MCARM) radar

Keywords

Doppler radar; Wiener filters; adaptive filters; adaptive radar; adaptive signal detection; adaptive signal processing; airborne radar; correlation methods; radar detection; radar signal processing; MCARM radar; constant false alarm rate; cross-correlation; multichannel airborne radar measurements; multistage STAP CFAR detection technique; multistage Wiener filter; orthogonal subspace projections; partially adaptive CFAR detection; pulse-Doppler radar data; space-time adaptive processing; Adaptive signal detection; Adaptive signal processing; Covariance matrix; Detectors; Matched filters; Radar detection; Sensor arrays; Signal processing algorithms; Testing; Wiener filter;

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.1998.677986

Filename

677986