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D-S证据理论在组合导航中的决策判断
引用本文:张恒浩,刘藻珍,孟秀云,李永伟.D-S证据理论在组合导航中的决策判断[J].河北科技大学学报,2011,32(6):571-574.
作者姓名:张恒浩  刘藻珍  孟秀云  李永伟
作者单位:1. 北京理工大学宇航学院,北京,100081
2. 河北科技大学电气信息学院,河北石家庄,050018
摘    要:在组合导航融合算法中引入证据理论对导航信息进行决策应用,推导出2个传感器信息融合后的结论,并且通过仿真实验得出计算结果。证据理论判断公式在处理具有证据冲突的相关信息时引入不确定熵的概念。证据理论算法通过不确定熵在加权合成算法和乘权合成算法之间作适度的折中判断。这种改进的证据理论方法可以分析组合导航信息融合算法中存在的问题,并给出最后的决策执行命令。

关 键 词:D-S证据理论  组合导航  信息融合  不确定熵
收稿时间:2011/8/2 0:00:00
修稿时间:2011/10/28 0:00:00

Application of D-S evidence theory in integrated navigation
ZHANG Heng-hao,LIU Zao-zhen,MENG Xiu-yun and LI Yong-wei.Application of D-S evidence theory in integrated navigation[J].Journal of Hebei University of Science and Technology,2011,32(6):571-574.
Authors:ZHANG Heng-hao  LIU Zao-zhen  MENG Xiu-yun and LI Yong-wei
Institution:1. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081 ,China;2. College of Electrical Engineering and Information Science, Hebei University of Science and Technology, Shijiazhuang Hebei 050018, China)
Abstract:The paper uses the D-S evidence theory in the navigation fusion algorithm to make decisions. The D-S evidence theory is used to deduce some conclusions which are calculated after the two sensors' information fusion, and the simulation test proves the result. The formula of the D-S evidence theory uses the uncertain entropy to deal with the conflicting information. The D-S evidence theory uses the uncertain entropy to make moderate judge between the weighting algorithm and the multiplication combining algorithm. This improved D-S evidence algorithm can discover the problem in the integrated navigation information fusion and make the final decision.
Keywords:D-S evidence theory  integrated navigation  information fusion  uncertain entropy
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