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Tracking of multiple maneuvering targets using multiscan JPDA and IMM smoothing [radar sensor example]

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

We consider the problem of tracking multiple maneuvering targets in the presence of clutter using switching multiple target motion models. A novel suboptimal fixed-lag smoothing algorithm is developed by applying the basic interacting multiple model (IMM) approach and joint probabilistic data association (JPDA) technique to a state augmented system. But unlike the standard single scan JPDA approach, we exploit a multiscan JPDA (Mscan-JPDA) approach to solve the data association problem. The algorithm is illustrated via a simulation example.

Published in:

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on  (Volume:3 )

Date of Conference:

17-21 May 2004