The optimization of distributed OS-CFAR detection using genetic simulated annealing algorithms
利用遗传模拟退火算法解决分布式OS-CFAR检测的优化问题

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.