Multiple Maneuvering Target Tracking Based on Extended Kalman Filter

摘要

Maneuvering target tracking is widely used in the military and civilian fields. For the multiple maneuvering target tracking problem, this paper distinguishes multiple targets by K-Nearest Neighbor algorithm firstly. Then we design the Extended Kalman Filter (EKF) method to each target trajectory. Finally, we determine whether maneuver testing is need through the analysis of changes in the target acceleration. Thus, the multi-target tracking is successfully completed. Simulation results show that the algorithm has a good multi-maneuvering target tracking effect with small amount of calculation.