Sahed, Mohamed2025-04-172025-04-172021http://dspace.univ-oeb.dz:4000/handle/123456789/21889The Pareto distribution has been validated recently as a new statistical model for radar clutter backscattered from the sea surface for X-band high resolution maritime surveillance radar. Consequently, the derivation of the corresponding detection schemes has become of much interest, for operation under such clutter model, with the constant false alarm rate (CFAR) property. In this paper, a novel order statistic based CFAR detector operating in Pareto distributed clutter is introduced. This detector, which will be referred to usTGMR-CFAR, consists on using the trimmed geometric mean of ratios of consecutive order statistics obtained from samples of the sliding window. It is designed essentially to operate in a more realistic case, where nonhomogeneous clutter is considered. The author provides, here, a complete performance analysis for the TGMR-CFAR processor in homogenous and when interfering targets are present within the reference window. The exact expression of the false alarm probability of the proposed algorithms in a homogenous background is also presented. The detection performance of the TGMR-CFAR detector is investigated and compared with some exciting detectors by means of simulations.enRadar Signal Processing; Noncoherent CFAR detection; Pareto Distributed Clutter; Order StatisticsArticle