The paper considers the problem of tracking multiple maneuvering targets in the presence of clutter using switching multiple target motion models. A novel suboptimal filtering algorithm is developed by applying the basic interacting multiple model (IMM) approach and the joint probabilistic data association (JPDA) technique. Unlike the standard single-scan JPDA approach, the authors exploit a multiscan joint probabilistic data association (mscan-JPDA) approach to solve the data association problem. The algorithm is illustrated via a simulation example involving tracking of four maneuvering targets and a multiscan data window of length two
Tracking of multiple maneuvering targets using multiscan JPDA and IMM filtering
IEEE Transactions on Aerospace and Electronic Systems ; 43 , 1 ; 23-35
01.01.2007
1757097 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Tracking of Multiple Maneuvering Targets using Multiscan JPDA and IMM Filtering
Online Contents | 2007
|Combining IMM and JPDA for tracking multiple maneuvering targets in clutter
British Library Conference Proceedings | 2002
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