Track correlation based on the quasi-consistent extended Kalman filter

This paper considers the problem of track correlation for the targets obeying general nonlinear dynamics. Based on the quasi-consistent extended Kalman filter (QCEKF), a novel track correlation algorithm is proposed. With the filtering error evaluated by the QCEKF, the proposed track correlation algorithm is proven to ensure that the probability of acceptable fault is lower than the desired value. In the simulation for several typical scenarios, the feasibility and effectiveness of the algorithm are validated.