A novel particle filtering algorithm for the noncooperative target tracking in general aviation

For the problem of noncooperative target tracking in General Aviation´s air traffic control system, a novel particle filtering algorithm is proposed. Firstly, in order to obtain the target azimuth information accurately, the Infrared sensor is inducted to search/track the noncooperative target by using the radar track information, and then the new measurement is reconstructed by utilizing the Infrared azimuth information and the radar track information. Secondly, in order to adaptively track and obtain the 3-D tracking information of the noncooperative target, an importance density based on maneuver index is proposed. Finally, the simulation results show that the proposed algorithm is effective and its performance is superiority over the Interacting Multiple Model method (IMM).