Multisensor integration in the tracking of landing aircraft
Zbigniew Korona, Mieczyslaw M. Kokar · 2002
An algorithm is presented for tracking a landing aircraft using two different passive sensors, a laser range finder (LRF) and an infrared camera (FLIR). The main feature of this algorithm is its ability to identify and compensate for plume disturbance. The algorithm is based on the extended Kalman filter (EKF) and the filtering confidence function (FCF) which introduces a learning approach to the tracking problem. The results of a simulation using the learning tracking algorithm and the extended Kalman filter alone are presented and compared.>