Accession Number : ADA323841
Title : Adaptive CFAR Detection and Reduced-Rank Space-Time Adaptive Processing.
Descriptive Note : In-house rept.,
Corporate Author : ROME LAB ROME NY
Personal Author(s) : Goldstein, J. S. ; Reed, Irving S.
PDF Url : ADA323841
Report Date : MAR 1997
Pagination or Media Count : 51
Abstract : A new approach to adaptive CFAR detection and reduced rank space time adaptive processing is introduced. A general methodology is developed for the design and analysis of reduced rank detectors with known and unknown covariance. The detection and false alarm probabilities are explicitly calculated and a cross spectral metric is introduced for rank reduction. This metric is demonstrated to result in a low rank detector which outperforms the principal components technique. The cross spectral metric provides subspace dimensionality robustness and allows for the dimension of the detector to be reduced beneath the dimension of the noise subspace eigenstructure without significant performance loss.
Descriptors : *TARGET DETECTION, SIGNAL PROCESSING, METHODOLOGY, SIGNAL TO NOISE RATIO, FALSE ALARMS, WEIGHTING FUNCTIONS, ADAPTIVE SYSTEMS, DOPPLER SYSTEMS, RANK ORDER STATISTICS.
Subject Categories : Target Direction, Range and Position Finding
Distribution Statement : APPROVED FOR PUBLIC RELEASE