节点文献
基于决策距离的多传感器信息融合加权平均算法
Multi-sensor Information Fusion Weighted Average Algorithm Based on Decision-making Distance
【摘要】 本文引入证据间距离、证据间支持度和可信度、决策距离测量等重要概念,对证据的信任函数数据进行合理化处理,并借助D-S证据合成规则实现多传感器的信息融合,从而提出基于决策距离的多传感器信息融合加权平均算法。算例分析表明,该方法能够有效解决D-S冲突问题,确保信息融合结果的准确度。
【Abstract】 This paper introduced some important concepts,such as the evidence-distance,the evidence support degree,the evidence credibility and the decision-making distance measurement.By given some rationalize processing to the trust function data of evidence,and achieved the result of the multi-sensor information fusion using the D-S evidence combination rules,then,this paper proposed a weighted average algorithm of multi-sensor information fusion based on decision-distance.Numerical example shows that the method can effectively solve the D-S conflict,and can ensure the accuracy of the information fusion.
【Key words】 Multi-source information fusion; Decision-making distance measurement; The distance between the evidence; DS combination rules;
- 【文献出处】 微计算机信息 ,Microcomputer Information , 编辑部邮箱 ,2012年09期
- 【分类号】TP202
- 【被引频次】4
- 【下载频次】285