Title :
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
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;
Conference_Titel :
Radar Conference, 1998. RADARCON 98. Proceedings of the 1998 IEEE
Conference_Location :
Dallas, TX
Print_ISBN :
0-7803-4492-8
DOI :
10.1109/NRC.1998.677986
