Performance analysis of maximum likelihood CFAR detection for Gaussian mixture type clutter


Sari F., Sari N., Celebi M. E. , Kayran A. H.

9th International Symposium on Signal Processing and its Applications, Sharjah, United Arab Emirates, 12 - 15 February 2007, pp.1166-1167 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Sharjah
  • Country: United Arab Emirates
  • Page Numbers: pp.1166-1167

Abstract

In a previous work, we have proposed to use a generalized Gaussian Mixture (GAP distribution for modelling the sea clutter. In this work, we analyze the performance of the proposed method for the CF4R and per non-CFAR cases. In order to evaluate the performance of the proposed metho, we derive the probability of false alarm P-fa. The Cramer Rao Bound (CRB), which is used to predict the performance of a given system, is also given.