A Novel Algorithm of Maneuvering Target Tracking based on AIMM-CKF
The interacting multiple model (IMM) is the algorithm which adopts multiple interacting models parallel processing. Coordinated turn (CT) model is the conventional model to tracking turning motion. However, CT models angular velocity is constant. In real motion the angular velocity usually is time varying and the value is hard to obtain. The CT model with time varying angular velocity is nonlinear. Based on these problems, an AIMM-CKF algorithm is proposed. The angular velocity is adaplive and the cubature Kalman filter (CKF) is used to estimate the states of system. The simulation results show the efficiency and practicability of this algorithm.
maneuvering target tracking interacting multiple models cubature Kalman filter adaptive filter
SiqingTian LiangChen Junwei Yang Jinghui Hao
College of information and electronic technology Jiamusi University Jiamusi, Heilongjiang Province, College of Automationz Harbin Engineering University Harbin, Heilongjiang Province, China
国际会议
哈尔滨
英文
2135-2138
2011-08-12（万方平台首次上网日期，不代表论文的发表时间）