The analysis and design of distributed detection based on star configurations

Yin Chengyou, Xu Shanjia, Wang Dongjin
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Abstract

In this paper, the distributed detection problem for sensors with star configuration is systematically investigated under the assumption that the fusion rule is based on Neyman-Pearson (N-P) criterion. Then it is proved that local decision and local fusion rules should also be N-P tests in order to obtain global optimization. The computational method of the thresholds is presented for the case where the constant alarm false rate processors are used in each sensor. Finally some calculation examples are given, which demonstrate that the performance of the optimal distributed detection approaches to the one of central detection under unconstrained communication bandwidth. The results given in this paper are of important significance for the point or small area multisensor defense system.
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基于星型结构的分布式检测分析与设计
在假设融合规则基于Neyman-Pearson (N-P)准则的情况下,系统地研究了星形传感器的分布式检测问题。然后证明了局部决策规则和局部融合规则也必须经过N-P检验才能得到全局最优解。针对每个传感器均采用定虚率报警处理器的情况,给出了阈值的计算方法。最后给出了一些计算实例,表明在无约束通信带宽下,分布式检测方法的性能优于中心检测方法。本文的研究结果对点或小面积多传感器防御系统具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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