Maneuvering Target Tracking in the Case of Wakes

An interacting multiple model probability data association method for tracking the wake target is presented. When the detections are fed to a tracking system like the probabilistic data association filter, the estimated track can be misled and sometimes lose the real target because of the wake. This problem becomes even more severe when the target performs maneuvering in the presence of wakes. To prevent this, we propose a probabilistic model of the wakes and deduce the new probability association coefficient, for the target's maneuvering, the interacting multiple model is applied. Simulation result shows, compared with the interacting multiple model probabilistic data association method, the new method could reduce the target loss effectively and retain low target loss ratio with augmenting measurement noise.