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Tracking of multiple maneuvering targets in clutter using multiple sensors, IMM, and JPDA coupled filtering

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1 Author(s)
Tugnait, J.K. ; Dept. of Electr. & Comput. Eng., Auburn Univ., AL, USA

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.

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Aerospace and Electronic Systems, IEEE Transactions on  (Volume:40 ,  Issue: 1 )