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.
Joint integrated probabilistic data association: JIPDA
IEEE Transactions on Aerospace and Electronic Systems ; 40 , 3 ; 1093-1099
2004-07-01
308508 byte
Article (Journal)
Electronic Resource
English
Joint Integrated Probabilistic Data Association - JIPDA
British Library Conference Proceedings | 2002
|Joint Integrated Probabilistic Data Association - JIPDA
IEEE | 2002
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Online Contents | 2004
|Joint probabilistic data association
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