1. Tracking Maneuvering Target on Airport Surface Based on IMM-UKF Algorithm
- Author
-
Wu Honglan, Tao Cheng, Huang Sheng-Guo, and Gong Shuli
- Subjects
Surface movement radar ,Engineering ,Extended Kalman filter ,Radar tracker ,business.industry ,Control theory ,Filter (video) ,Tracking system ,Algorithm design ,Kalman filter ,business ,Algorithm ,Invariant extended Kalman filter - 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.
- Published
- 2010