Modified Interval Dempster-Shafer Theory and Its Application for Target Identification

摘要：

　　To deal with the problem of target identification caused by the achieved reliability of multi sensors and the feature measurement uncertainty of the target, this paper proposes a new identification algorithm based on Modified Interval Dempster-Shafer Theory (MIDST), which models sensors reliability as scalar value and identification outputs of each sensor as interval values, and then combines the actual interval outputs through interval evidence combination rules.At last, one simulation is presented to demonstrate the identification capability of the MIDST algorithm.

关键词： identification data fusion Dempster-Shafer theory interval value

作者: Liu Hai-jun Nie Hong-shan Yu Hong-qi Hua Hong-hu Liu Zheng

作者单位: School of Electronic Science and Engineering,National University of Defense Technology,Changsha 410073,China

会议类型: 国际会议

会议名称: the 3nd International Conference on Digital Manufacturing & Automation (第三届数字制造与自动化国际会议(ICDMA 2012))

会议地点: 桂林

会议语种:英文

页码: 1153-1156

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）