Passive tracking of a maneuvering target: an adaptive approach
The problem of target tracking using passive sensors is examined. The target is assumed to execute maneuvers at times unknown to the observer. An adaptive algorithm, which takes into account such maneuvers, is derived using the multimodel partitioning approach. Simulation results show the superiority of the proposed algorithm over a tracker employing the extended Kalman filter. >