%0 Journal Article
%T Pseudo-Optimum CFAR Detectors in non-Gaussian Clutter
%A Amir Zaimbashi
%A Mohammad Reza Taban
%A Vahedipour Rozbeh
%J Majlesi Journal of Electrical Engineering
%D 2007
%I Islamic Azad University- Majlesi
%R 10.1234/mjee.v1i2.22
%X In this paper, the problem of signal detection based on suboptimum-constant false alarm rate (CFAR) detector, in the presence of a mixture of K-distributed clutter, is studied. In this case, a new suboptimum detector named generalized likelihood ratio test and maximum a posteriori(GLRT-MAP) is proposed and compared with generalized likelihood ratio test and linear quadratic (GLRT-LQ) suboptimum detector. The CFAR properties of the GLRT-MAP detector are investigated and compared with that of the GLRT-LQ detector. The simulation results show that the GLRT-MAP is a completely CFAR detector regardless of the clutter distribution and correlation in covariance matrix, whereas the GLRT-LQ is only CFAR detector regardless to clutter distribution. The performance analyses of the GLRT-MAP and GLRT-LQ are investigated by means of Monte Carlo simulation, and results are provided in results section.
%K Detection
%K GLRT-LQ
%K Glrt-MAP
%K CFAR
%K Pseudo-Optimum
%K non-Gaussian Clutter
%U http://ee.majlesi.info/index/index.php/ee/article/view/22