Decentralized CFAR detection with binary integration in Weibull clutter

The analysis of a distributed multiradar system with decentralized decisions, operating in the presence of nonstationary Weibull clutter is presented. Each sensor employs a constant false-alarm rate (CFAR) algorithm and binary integration and transmits its local decisions to the fusion center, which takes the final decision. Optimal local double thresholds and decision fusion rule are determined according to the Neyman-Pearson (N-P) criterion and the global performance is evaluated by a novel approach to optimize distributed binary integration systems.

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