基于证据理论的多传感器信息融合目标识别方法

从D-S证据理论的基本概念和证据的融合推理方法出发，建立了多目标特征信息融合识别框架。并提出一种符合目标识别特点的基本可信度分配构造方法。该方法把识别对象看作一个信息系统，运行过程中不断产生各种信息，并将信息加工成目标特征。通过特定的识别决策规则，得出识别结论。给出了一个多目标信息进行识别的实例，结果表明该方法能够有效地提高目标识别可信度，减小识别的不确定性。

Research on Date Fusion Target Recognition Method based on Dempster-shafer Evidential Theory

Starting with the basic conception and evidential fusion reasoning method of Dempster-Shafer evidential theory, multi-target characteristic information fusion recognition frame is constructed, A new approach to target recognition based on multi-information fusion of target characteristic, Dempster-Shafer evidential theory and basic probability assignment contribution method is proposed, An example is present, It is shown that the method is good to improve the reliability of the recognition and decrease the uncertainty markedly.