DocumentCode
3626103
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
fYear
2006
fDate
5/1/2006 12:00:00 AM
Firstpage
1
Lastpage
6
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"
Publisher
ieee
Conference_Titel
Radar Symposium, 2006. IRS 2006. International
ISSN
2155-5745
Print_ISBN
978-83-7207-621-2
Electronic_ISBN
2155-5753
Type
conf
DOI
10.1109/IRS.2006.4338005
Filename
4338005
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