We consider the problem of tracking multiple maneuvering targets in clutter using switching multiple target motion models. A novel suboptimal filtering algorithm is developed by applying the basic interacting multiple model (IMM) approach, the joint probabilistic data association (JPDA) technique and coupled target state estimation to a Markovian switching system. The algorithm is illustrated via a simulation example involving tracking of two highly maneuvering, at times closely spaced, targets.
Tracking of multiple maneuvering targets in clutter using multiple sensors, IMM, and JPDA coupled filtering
IEEE Transactions on Aerospace and Electronic Systems ; 40 , 1 ; 320-330
2004-01-01
513472 byte
Article (Journal)
Electronic Resource
English
Combining IMM and JPDA for tracking multiple maneuvering targets in clutter
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