Sensor-to-sensor target association in a network of passive sensors

This paper address the problem of sensor-to sensor target association in a distributed passive sensor network. If two or more targets are coplanar with two sensors, ghosts occur among the intersections of line-of-sights. To cancel these ghosts, the authors propose a new association method in which they track angles and angular rates of targets being viewed by each sensor and use not only angle but also angular rate information in the association process. The performance of the proposed method is investigated through Monte Carlo simulation.