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带有分布式传感器和融合中心的检测系统已应用于监视系统中．文中提出了多传感器检测空间的划分，以及先分区融合再系统融合的方法，并且在不同的检测区域，多传感器采用不同的门限；已往所有传感器探测同一区域，融合中心采用所有传感器判决的ＡＮＤ、ＯＲ和“Ｋ／Ｎ”规则，和这些规则相比，文中的方法更加合理和实用．利用Ｂｏｏｌｅａｎ代数，文中还推导了多传感器检测系统的检测概率和虚警概率表达式．对于由几个单元平均恒虚警率（ＣＡ－ＣＦＡＲ）检测器组成的系统，通过分区融合和系统融合，可以在融合中心得到总的判决．对于Ｒａｙｌｅｉｇｈ目标和干扰，固定系统的虚警概率为某一要求值，通过使系统的检测概率最大来获得每个ＣＦＡＲ检测器的最佳门限．最后，举例说明了这种方法的应用并分析了其性能．
Detection systems with distributed sensors and fusion centers have been used in surveillance systems. In this paper, the classification of multisensor detection space and the method of fusion of the first partition and the second system are proposed. In different detection areas, different thresholds are applied to multiple sensors. In the past, all the sensors detect the same area, and the fusion center uses AND of all sensor decisions. OR and “K / N” rules. Compared with these rules, the method in this paper is more reasonable and practical. Using Boolean algebra, the detection probability and false alarm probability expressions of multi-sensor detection system are also deduced. For a system consisting of several CA-CFAR detectors, the overall decision can be obtained at the fusion center through partition fusion and system fusion. For Rayleigh targets and disturbances, the false alarm probability of a fixed system is a certain required value and the optimal threshold for each CFAR detector is obtained by maximizing the detection probability of the system. Finally, it illustrates the application of this method and analyzes its performance.