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
  • Istanbul Technical University Affiliated: Yes

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.