Convex Optimization Approach to Identity Fusion for Multisensor Target Tracking

We consider the problem of identity fusion for a multisensor target tracking system whereby sensors generate reports on the target identities. Since sensor reports are typically fuzzy, incomplete, or inconsistent, the fusion of such sensor reports becomes a major challenge. In this paper, we introduce a new identity fusion method based on the minimization of inconsistencies among the sensor reports by using a convex quadratic programming (QP) …