Title :
Efficient determination of thresholds via importance sampling for Monte Carlo evaluation of radar performance in non-Gaussian clutter
Author :
Stadelman, Dennis L. ; Weiner, Donald D. ; Keckler, Andrew D.
Author_Institution :
Syracuse Res. Corp., North Syracuse, NY, USA
Abstract :
An efficient importance sampling simulation method is presented for estimating the thresholds to achieve very low probabilities of false alarm for radar receivers in clutter modeled as a non-Gaussian, spherically invariant random vector. Thresholds at false alarm probabilities of 10-6 and lower are estimated with only 10,000 trials for both known and unknown clutter covariance matrix cases.
Keywords :
covariance matrices; importance sampling; probability; radar clutter; radar detection; radar receivers; radar theory; Monte Carlo evaluation; covariance matrix; false alarm probability; importance sampling; nonGaussian clutter; radar clutter; radar receivers; spherically invariant random vector; target detection; threshold determination; Covariance matrix; Detectors; Eigenvalues and eigenfunctions; Matched filters; Monte Carlo methods; Radar clutter; Radar detection; Statistical analysis; Testing; Weibull distribution;
Conference_Titel :
Radar Conference, 2002. Proceedings of the IEEE
Print_ISBN :
0-7803-7357-X
DOI :
10.1109/NRC.2002.999731
