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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"