An Augmented State Target Tracking Algorithm with the Existence of Systematic Errors
The problem that how to track a threedimensional target with the existence of systematic errors is researched in this paper. Based on the extended Kalman filter(EKF), an augmented state extended Kalman filter(ASEKF) tracking algorithm is proposed. By introducing systematic errors into the state vector of EKF,the joint estimation of target state and systematic errors is performed. Especially, in order to initializes the state estimation, three methods is derived, which is realized by using empiric value, regarding the systematic errors and random errors as correlated and uncorrelated. The simulation results show that the ASEKF algorithm can estimate efficiently, and the initialization methods effectively improve the tracking precision.
radar networking target tracking error alignment data fusion
Qiang Song Zhengliang Xiao You He
Research Institute of Information Fusion Naval Aeronautic Engineering Institute, Yantai, Shandong, P PLA NAVY UNIT 91172 Sanya, Hainan, P.R.China,572000
国际会议
The International Colloquium on Onformation Fusion 2007(2007年国际信息融合研讨会)
西安
英文
263-266
2007-08-22（万方平台首次上网日期，不代表论文的发表时间）