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	A nonlinear prediction filter algorithm based on the adaptive tracking theory - art. no. 68330K
	Xiong, MT ; Wu, QZ ; Gao, XD
	2008
会议名称	PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
卷号	6833
页码	K8330-K8330
中文摘要	The tracking and orientation of optoelectronic targets must obtain the data of target's velocity and angle by prediction algorithm. But the state and measurement equations are usually nonlinear and uncoupled models, so the tracking problem often connects with nonlinear estimation. The commonly classical extended Kalman filter (EKF) algorithm suffers from a lot of defects. There are those problems such as easy to diverge and the convergence rate is slow and the tracking accuracy is low. In this paper, a new nonlinear adaptive Kalman filter (AEKF) algorithm based on the adaptive tracking theory in current statistical model is presented. It expresses variation of acceleration with the information of position and angle to carry out self adaptation of noise variance in on-line mode, and to compensate the linear errors of model in dynamic mode. Analytic results of Monte Carlo simulation prove the AEKF algorithm is right and feasible, and the accuracy and the convergence rate are both improved. It has better performance than the EKF algorithm and modified variance EKF (MVEKF) algorithm in the tracking and orientation of optoelectronic maneuvering target. The simulation results and new method will been widely and directly applied into various engineering.
收录类别	EI
语种	英语
ISSN号	0361-0775
内容类型	会议论文
源URL	[http://ir.ioe.ac.cn/handle/181551/1814]
专题	光电技术研究所_光电探测技术研究室（三室）
推荐引用方式 GB/T 7714	Xiong, MT,Wu, QZ,Gao, XD. A nonlinear prediction filter algorithm based on the adaptive tracking theory - art. no. 68330K[C]. 见:PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE).

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