目标识别系统中的一种多传感器数据融合算法

Multisensor Data Fusion Algorithm for Target Identification System

Dempster证据组合规则在D-S证据理论中具有十分重要的作用。但在将Dempster证据组合规则应用于多传感器数据融合时,理论上仍有值得探讨之处。在对Dempster证据组合规则进行分析的基础上,提出了解决目标识别系统中多传感器数据融合的“一次Dempster联合法”,避免了原有算法中需多次采用Dempster证据组合规则来计算的问题,从而减少了计算量。

Dempster＇s rule plays a very important role in D-S evidence theory. Therefore,the research in theory of appling Dempster＇s rule to multisource information fusion is necessary. This paper, based on the analysis of the property of Dempster＇s rule, proposes a new data fusion algorithm of multisensor in target identification system. The advantages of the algorithm is that Dempster rule only need to be applied one time in the data fusion.