The goal of this paper is to improve the detection performance and the false alarm regulation of the conventional order statistics Constant False Alarm Rate (OS-CFAR) detectors in a non-homogeneous Gaussian environment. To this end, we design and study the New Sorting Weighting (NSW-) and the Modified Sorting Weighting (MSW-) CFAR detectors. We find closed forms of the detection ( ) and the false alarm ( ) probabilities for both detectors. Moreover, we identify the optimum pairs of weights that maximize the and ensure a constant . Finally, we prove through Monte Carlo simulations that these detectors provide better detection performance and false alarm regulation than the order statistics conventional ones in various clutter situations with the NSW-CFAR detector being the best one.
Chabbi, Souad; belhi, khadidja; and HAMADOUCHE, M'HAMED
"Study of Improved Sorting Weighting CFAR Detectors for Gaussian Environment,"
Emirates Journal for Engineering Research: Vol. 28:
3, Article 2.
Available at: https://scholarworks.uaeu.ac.ae/ejer/vol28/iss3/2