Abstract:

In order to realize the 3D situation display of airport based on the automatic dependent surveillance-broadcast(ADS-B)data, its smoothing method is developed in the first step of airport 3D display. The ADS-B data must be pretreated because it is unsmooth with low accuracy for 3D display of the moving aircraft on airport surface. After smooth pretreatment, ADS-B data can be interpolated to high-frequency track data which is used for 3D display. So the interacting multiple model Kalman filter(IMMKF)algorithm is used to smooth the track. First, according to the actual movement of aircraft, three motion models with respect to constant acceleration, constant turn and constant velocity are constructed separately. Second, the IMMKF algorithm which combines IMM and Kalman Singer filter is used to track and smooth ADS-B data. Compared with other several classical filters, the experiment results indicate that this method achieves the lower failure probability of tracking with enough smoothness, realtime calculation and high accuracy.