分布式检测系统的模糊有序统计融合算法

为提高基于二元局部判决的分布式检测系统的检测性能，研究了基于模糊隶属度函数的分布式检测系统融合算法，提出了模糊有序统计融合准则。通过对肼传感器进行分布式检测系统仿真，结果表明：模糊有序统计融合准则在均匀环境中能获得比基于二元判决准则更好的检测性能，也好于同样采用模糊隶属度函数的求和准则的检测性能，且在多目标环境下获得了较强的适应性。

A Fuzzy Order Statistics Fusion Rule for Distributed Detection System

A new fusion rule,Fuzzy Order Statistics(FOS) fusion rule,is presented to improve the detection performance of binary local decision in multisensor distributed detection systems.Analytical expressions are given for the false alarm probability.Simulation results based on local sensors in a distributed system indicate that in homogeneous environment,order statistics fusion rule based on fuzzy membership function has better performance than that the binary local decision rule has,and order statistics fusion rule is also superior to the"sum"fusion rule based on fuzzy membership function.The order statistics fusion rule is robust in multi-targets.