Joint integrated probabilistic data association: JIPDA

被引:287
作者
Musicki, D [1 ]
Evans, R [1 ]
机构
[1] Univ Melbourne, Cooperat Res Ctr Sensor Signal & Informat Proc, Dept Elect & Elect Engn, Parkville, Vic 3010, Australia
关键词
D O I
10.1109/TAES.2004.1337482
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
A new recursive filter for multi-target tracking in clutter is presented. Multiple tracks may share the same measurement(s). Joint events are formed by creating all possible combinations of track-measurement assignments and the probabilities for these joint events are calculated. The expressions for the joint event probabilities incorporate the probabilities of target existence of individual tracks, an efficient approximation for the cluster volume and a priori probability of the number of clutter measurements in each cluster. From these probabilities the data association and target existence probabilities of individual tracks are obtained, which allows track state update and false track discrimination. A simulation study is presented to show the effectiveness of this approach.
引用
收藏
页码:1093 / 1099
页数:7
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