【摘要】 研究分布检测系统中融合中心的多种数据融合方法，如“ａｎｄ”、“ｏｒ”逻辑规则、表决融合方法和基于最小错误准则的最优融合方法，以及带有置信度信息的最优融合方法，分析和比较了采用各种融合方法时检测系统的检测性能，最后通过仿真实例验证了理论推导的正确性，并与集中检测融合方法进行了比较．仿真结果同时表明对各种融合方法传感器增多，信噪比增加，检测系统的性能改善更多还原

【Abstract】 In recent years there has been an increasing interest in distributed detection system, where several sensing techniques are employed. The basic goal of such multiple sensors system is to improve system performance, for example, reliability or speed. In this paper, different fusion rules in the data fusion center of distributed detection system , as ‘and’ logic,‘or’ logic,vote fusion rule ,optimal fusion rule basing on minimum error and optimal fusion rule with degree of confidence are discussed, and the system performance under any fusion rules are analyzed and compared, as well as simulation example validating the conclusion correctness is given. At the same time the simulation result indicates that the performance of detection system will be improved for any fusion rules with sensor number and signal noise ration increasing.更多还原