Search results for: Debasis Sengupta
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Tracking of Multiple Maneuvering Targets in Clutter by Joint Probabilistic Data and Maneuver Association
01989 American Control Conference > 1989 > 2696 - 2701
A feasible and effective method of tracking multiple maneuvering targets in clutter is introduced. The maneuver is modeled by a Markovian selection from a finite set of acceleration inputs in the target state equation. An extension of the joint probabilistic data association (JPDA) algorithm to the case of maneuvering targets is then presented which employs a joint hypothesis space for the maneuver...
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