Bearings-Only Multi-Target Tracking via Multi-LOS Fusion

This paper addresses the issue of selecting multiple aircrafts for multi-target tracking. It particularly focuses on scenarios involving bearings-only measurements. Firstly, the target motion model and bearings-only cooperative measurement model are presented. In addition, the paper introduces an observability analysis method using the Cramer-Rao lower bound (CRLB) as a metric for measuring multi-LOS target tracking performance. Furthermore, considering both tracking accuracy and aircraft quantity limitation, the paper formulates the optimization objective function. The optimal observation combination is obtained by solving the established optimization function, and the estimation of target motion state is accomplished by employing the extended Kalman filter(EKF). Finally, the effectiveness of the proposed multi-LOS fusion method is rigorously validated by extensive numerical simulations.