多传感器检测系统的自适应融合算法

The adaptive fusion algorithm in multiple-sensors detecion system

通过分析分布式检测系统的工作原理,提出了一种新的基于并行检测系统的全局检测融合方法,该方法利用检测器局部判决结果与融合中心融合结果的误差对全局检测器下一步判决所采用的方法与参数进行修正,从而达到提高全局检测系统检测概率的目的.分析表明,该算法能有效提高系统的性能.

By analyzing the principle of distributed detection system, a novel optimal global fusion rule is presented based on parallel detection system. This algorithm modify the fusion center's decision rule with the error between local decision and the fusion center's decision. Results shows that the detection performance is obviously improved.