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The optimization of distributed OS-CFAR detection using genetic simulated annealing algorithms |
Wang Mingyu; Yu Bianzhang |
Dept. of Electronic Eng., Northwestern Polytechnical University Xi an 710072 China |
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Abstract The distributed multisensor detection system with Order Statistic Constant False Alarm Rate (OS-CFAR) is optimized in terms of fusion rule and (k, T) parameters using Genetic Simulated Annealing Algorithms (GSAAs). A set of quasi-optimum results of a tri-sensor system under identically and unidentically detect conditions are given and analyzed, which proves that GSAAs are efficient for this optimization.
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Received: 05 June 2000
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