The Application of IMM-PF in Airport Surface Moving Target Tracking

In order to improve the accuracy of surveillance for the airport surface moving targets, the interacting multiple model (IMM) algorithm, adopting three motion models including the constant velocity (CV) model, the constant acceleration (CA) model and the constant turning (CT) model, is combined with the particle filter (PF) algorithm. Besides, the airport map information is utilized to amend the measured data and the output estimates so as to further improve the accuracy of airport surface moving target tracking. Numerical simulations show that the improved algorithm described in this paper is more feasible and effective in tracking the airport surface moving targets.