Using Target´s Polarization for Data Association in Multiple Target Tracking

Data association plays an important role in multiple target tracking. Target\´s polarization information can\´t update target\´s track, but it can discriminate different targets and clutter effectively. Therefore, the non-determinacy of association is reduced. Given the target\´s polarization information, the generalized "nearest neighbor" algorithm is proposed according to the extended distance defined in the space-polarization joint domains. The simulation verifies that the "generalized nearest neighbor" outperforms the conventional "nearest neighbor"