28 December 2007 An extreme value theory approach to correlated radar clutter
Author Affiliations +
Proceedings Volume 6937, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007; 69373Q (2007) https://doi.org/10.1117/12.784901
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007, 2007, Wilga, Poland
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michał Piotrkowski, "An extreme value theory approach to correlated radar clutter", Proc. SPIE 6937, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007, 69373Q (28 December 2007); doi: 10.1117/12.784901; https://doi.org/10.1117/12.784901
PROCEEDINGS
7 PAGES


SHARE
Back to Top