Title :
Tracking Maneuvering Target on Airport Surface Based on IMM-UKF Algorithm
Author :
Shuli, Gong ; Honglan, Wu ; Cheng, Tao ; Shengguo, Huang
Author_Institution :
Sch. of Civil Aviation, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
Aiming at tracking maneuvering target of SMR (Surface Movement Radar), this paper establishes a constant acceleration motion model, constant turn motion model and constant velocity motion model according to the actual movement of aircraft. On the base of these models, the IMM-UKF filter tracking algorithm is designed by introducing Unscented Kalman filter (UKF) into the interacting multiple model (IMM) algorithm. And IMM-UKF is compared with IMM-EKF (extended Kalman filter) algorithms. Simulation results show that IMM-UKF algorithm has good stability, and it overcomes the divergence problem of the EKF filter. The tracking accuracy and the model of transition speed are better than IMM-EKF algorithm.
Keywords :
Kalman filters; air traffic control; airports; radar signal processing; target tracking; IMM-UKF; airport surface; constant acceleration motion model; constant turn motion model; constant velocity motion model; interacting multiple model; maneuvering target tracking; surface movement radar; tracking accuracy; unscented Kalman filter; Surface Movement Radar; Unscented Kalman filter; interacting multiple model;
Conference_Titel :
Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
Conference_Location :
Haiko
Print_ISBN :
978-1-4244-8683-0
DOI :
10.1109/ICOIP.2010.168