多传感器目标检测，是近十多年来的一个研究热点。然而运用多传感器实施对目标的检测同时带来了一个新的问题，即如何能由多个传感器所提供的信息实时作出准确的判决？文章证明运用（Ｋ／Ｎ）规则于分布式多传感器目标检测时，存在最佳Ｋ值，使得系统的检测概率高于任一传感器的检测概率，虚警概率低于任一传感器的虚警概率。 Multi-sensor target detection, is a research hot spot in recent ten years. However, the implementation of multi-sensor detection of the target at the same time brought a new problem, that is, how can the information provided by multiple sensors to make accurate real-time decision? The article proves that when using K / N rule in distributed multi-sensor target detection, there exists the best K value, which makes the detection probability of the system higher than the detection probability of any sensor. The false alarm probability is lower than the false alarm probability of any sensor .