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Tracking of splitting targets in clutter using an interacting multiple model joint probabilistic data association filter

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3 Author(s)
Bar-Shalom, Y. ; Connecticut Univ., Storrs, CT, USA ; Chang, K.C. ; Blom, H.A.P.

The authors present a recursive algorithm that allows tracking of a target that splits into two targets in a cluttered environment using measurements obtained from a sensor with limited resolution. The approach consists of the interacting multiple model algorithm combined with a coupled version of the joint probabilistic data association filter. Simulation results show the effectiveness of this approach

Published in:

Decision and Control, 1991., Proceedings of the 30th IEEE Conference on

Date of Conference:

11-13 Dec 1991