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Pseudo-Optimum CFAR Detectors in non-Gaussian Clutter

Author(s): Amir Zaimbashi | Mohammad Reza Taban | Vahedipour Rozbeh

Journal: Majlesi Journal of Electrical Engineering
ISSN 2008-1413

Volume: 1;
Issue: 2;
Start page: 15;
Date: 2007;
Original page

Keywords: Detection | GLRT-LQ | Glrt-MAP | CFAR | Pseudo-Optimum | non-Gaussian Clutter

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.
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