Title :
Distribution Independent CFAR Detector Using Extreme Value Theory
Author :
Michal Piotrkowski
Author_Institution :
Institute of Electronic Systems, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, POLAND. e-mail: mpiotrko@ise.pw.edu.pl
fDate :
5/1/2006 12:00:00 AM
Abstract :
According to the extreme value theory, the tail distribution of virtually any statistical distribution can be uniquely modeled by the generalized Pareto distribution. Based on this property, a CFAR detector making no assumption about the distribution of interference is proposed. The parameters of the generalized Pareto distribution can be estimated using the method of L-moments. The performance of the new detector is compared to CA- and Optimized Weibull CFAR detector in the Rayleigh, Weibull and lognormally distributed clutter amplitude.
Keywords :
"Detectors","Probability distribution","Radar detection","Clutter","Interference","Shape","Parameter estimation","Statistical distributions","Noise level","Gamma ray detection"
Conference_Titel :
Radar Symposium, 2006. IRS 2006. International
Print_ISBN :
978-83-7207-621-2
Electronic_ISBN :
2155-5753
DOI :
10.1109/IRS.2006.4338005
