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Distributed multi-sensor fusion for target recognition using weighted D-S evidence theory
基于加权D-S证据理论的分布式多传感器目标识别

Keywords: D-S evidence theory,multi-sensor fusion,target recognition
D-S证据理论
,多传感器融合,目标识别,加权,证据理论,分布式,多传感器,目标识别,evidence,theory,weighted,target,recognition,fusion,任务,效率,融合方法,证明方法,仿真实验,权值确定,目标距离,综合,支持度,可信度,信息模型

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Abstract:

Dempster-Shafer(D-S) evidence theory has been widely used in data fusion systems.A method based on the weighted D-S evidence theory was proposed for target recognition in the distributed multi-sensor system.First,the analysis of the system's formation model showed that the decision credibility of a sensor was jointly determined by two elements,namely the degree of support and the distance between it and the target.As the decision credibility can be presented by the corresponding weight of the weighted D-S evidence theory,it was obtained by a formula based on the two elements.Finally,the encouraging experimental results demonstrate the effectiveness of the method.

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