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Proceedings Paper

Performance analysis of order statistic constant false alarm rate (CFAR) detectors in generalized Rayleigh environment
Author(s): Xiaolan Xu; Rosa Zheng; Genshe Chen; Erik Blasch
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Paper Abstract

The performances of order statistic (OS) constant false alarm rate (CFAR) detectors are analyzed for non-Gaussian clutters modeled by heavy-tailed complex isotropic symmetric alpha-stable random processes whose amplitude is the generalized Rayleigh distribution. The detection and false alarm probabilities of the amplitude OS-CFAR detectors are presented assuming that the target signal is Rayleigh distributed. Exact closed-form solutions are derived for the special case of Cauchy-Rayleigh distribution where the characteristic exponent is 1. Numerical results are presented for detection and false alarm rates as functions of the generalized signal-to-noise ratio, reference window sizes, and rank order indexes. It is shown that the window size and rank order do not have significant effects on the performances. It is also shown that the amplitude detectors provide similar performances as the square-law detectors in the heavy-tailed clutter environment.

Paper Details

Date Published: 21 September 2007
PDF: 10 pages
Proc. SPIE 6699, Signal and Data Processing of Small Targets 2007, 669904 (21 September 2007); doi: 10.1117/12.734355
Show Author Affiliations
Xiaolan Xu, Intelligent Automation, Inc. (United States)
Rosa Zheng, Univ. of Missouri-Rolla (United States)
Genshe Chen, Intelligent Automation, Inc. (United States)
Erik Blasch, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 6699:
Signal and Data Processing of Small Targets 2007
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)

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