Khaled Zebiri, F. Soltani, A. Mezache, A. Bentoumi
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引用次数: 1
Abstract
Performance analysis of distributed GM-CFAR (Geometric Mean-CFAR) and OS-CFAR (Order Statistic-CFAR) detectors in a Pareto clutter is presented in this work. Because of the nonlinear property of this multidimensional system, the biogeography based optimization (BBO) algorithm is used to obtain optimal thresholds of local detectors. Each CFAR detector takes its own decision and sends it to the fusion center to obtain a final binary decision according to a preselected fusion rule. Optimization requirements of the distributed system are improved using a new expression in integral form of the detection probability. Via computer simulations, the detection performances are investigated in terms of clutter and system parameters for both homogeneous and heterogeneous Pareto backgrounds.
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