一种结合证据可靠性和D-S理论的综合识别方法

为了满足复杂战场环境的目标身份识别需求，需要将多种传感器的识别信息进行融合，实现有效的身份判断。该文从传感器的基本信度评价和稳定性2个方面对识别证据进行可靠性评估，反映传感器工作机制、目标分布和配准关联为识别证据引入的不确定性；结合证据的可靠性与冲突情况，动态选择D-S证据的融合结构，降低冲突证据对融合结果的不利影响，并进行历史识别证据溯源，有效整合时间上离散的多个证据，排除不独立证据造成的误识别。最后通过仿真验证了方法的有效性。

Method of integrated identification based on evidence reliability evaluation and D-S theory

It is necessary to fuse the identification data from multi-sensor for the effective identity determination in order to meet the identification requirements of target attributes under complex battlefield environment. Based on the fundamental belief evaluation and stability of the sensors, the reliability evaluation of identification evidence is carried out, which would reflect the uncertainty introduced by sensor working mechanism, target distributing and registration association. D-S evidence fusion structure is selected dynamically according to evidence reliability evaluation results and evidence conflict status to decrease the disastrous effect on fusion result from conflict evidence. Furthermore, the history identification evidence source tracking process is performed to integrate asynchronous evidence and this would avoid the false identification caused by non-independent evidence. Finally, the simulation indicates the validity of the method.