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Distributed detection theory is widely used in surveillance systems that recquire a large area of coverage and a large number of targets under consideration. In this paper an optimization algorithm for distributed systems is described. The optimization criterion maximizes the probability of detection in the Data Fusion Center, keeping the overall probability of a false alarm constant. Furthermore the optimal decision rules in the Data Fusion Center are showed, in function of the sensor characteristics.
CitationOrtega, P.; Elias, A. Optimización de un Centro de Fusión CFAR para Sistemas Distribuidos RADAR. A: Simposium Nacional de la Unión Científica Internacional de Radio. "VI Simposium Nacional de la Unión Científica Internacional de Radio: URSI 1991: programa-libro de resúmenes". Caceres: 1991, p. 625-629.
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