An extreme value theory approach to correlated radar clutter

Michał Piotrkowski

doi:10.1117/12.784901

28 December 2007 An extreme value theory approach to correlated radar clutter

Michał Piotrkowski

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 K_Idistribution 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.

Citation Download Citation

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); https://doi.org/10.1117/12.784901

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