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对于包含雷达、红外、电子支援措施和敌我识别等传感器的综合敌我识别系统,如何对异类传感器输出的不确定性信息进行有效处理是有待解决的基本难题之一.D-S证据理论是一种处理不确定性问题的有效方法.D-S证据理论对高冲突证据合成时会出现融合结果与常理相悖的情况.目前解决该问题主要使用的方法包括改变矛盾信息分配方式的组合规则法和证据信息修正法.从这两方面着手,具体分析在证据冲突情况下不同的目标识别方法,并比较其优劣,为建立综合敌我识别系统提供系统的理论支撑.
How to deal with the uncertainty information output by the heterogeneous sensor effectively is one of the basic problems to be solved for the integrated system of enemy and foe recognition, which includes sensors such as radar, infrared, electronic support and foe recognition.DS theory of evidence is a kind of processing The effective method of certainty problem is DS evidence theory, when the evidence of high conflict is synthesized, the result of fusion will be contrary to common sense.The main methods used to solve this problem at present include combinatorial rules method and evidence information correction method. From these two aspects, this paper analyzes the different target recognition methods in the case of evidence conflict, and compares the advantages and disadvantages of them to provide systematic theoretical support for the establishment of an integrated system of enemy and foe recognition.