Share Email Print
cover

Proceedings Paper

An extreme value theory approach to correlated radar clutter
Author(s): Michał Piotrkowski
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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 it is possible to approximate the tail of the radar clutter distribution and develop a distribution-independent CFAR detector. In the paper the multiplicative clutter model is considered. Correlated clutter intensity with exponential, G01 and KI distribution is simulated. The correlation is introduced by lowpass filtering of the clutter speckle component. It is showed using the chi-square goodness-of-fit test that the tail of the correlated clutter can be well approximated by the generalized Pareto distribution.

Paper Details

Date Published: 28 December 2007
PDF: 7 pages
Proc. SPIE 6937, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007, 69373Q (28 December 2007); doi: 10.1117/12.784901
Show Author Affiliations
Michał Piotrkowski, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 6937:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007

© SPIE. Terms of Use
Back to Top