The application of the anti-outlier Unscent Kalman filter in the integrated GPS/DR orientation

doi:10.1109/ICIE.2009.273

IR > 土木工程学院

	The application of the anti-outlier Unscent Kalman filter in the integrated GPS/DR orientation
	Yu, Li; Jie, Cao; Chongyu, Ren
	2009
会议名称	2009 WASE International Conference on Information Engineering, ICIE 2009
会议录名称	2009 WASE International Conference on Information Engineering, ICIE 2009
卷号	1
页码	87-90
会议日期	July 10, 2009 - July 11, 2009
会议地点	Taiyuan, Shanxi, China
出版者	IEEE Computer Society
摘要	Vehicle orientation is one of the important technologies in intelligent transportation system and integrated GPS/DR orientation can provide location data of high precision and reliability through data fusion. Hence, at present, the integrated GPS/DR orientation system has been the focus of research at home and abroad. The present paper is on the basis of setting up the Integrated GPS/DR Orientation system model with the Unscent Kalman filter theory. For the common problem of outlier in the process of filtering, the present paper analyses the characteristic and influencing mechanism of the outlier and proposes the solution to dissolve the outlier with the corrected new information based on the M Estimation. The simulation results show that the solution proposed can effectively eliminate the negative effect of the outlier on the filter and can consequently increase the precision of the Integrated GPS/DR Orientation. © 2009 IEEE.
关键词	Data fusion Information filtering Intelligent systems Statistics Focus of researches Influencing mechanisms Intelligent transportation systems Kalman filter theory M-estimation New information Outlier Vehicle orientation
DOI	10.1109/ICIE.2009.273
收录类别	EI
语种	英语
EI入藏号	20094712473227
EI主题词	Kalman filters
来源库	Compendex
分类代码	723.2 Data Processing and Image Processing - 723.4 Artificial Intelligence - 903.1 Information Sources and Analysis - 922.2 Mathematical Statistics
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/116651
专题	土木工程学院电气工程与信息工程学院
作者单位	College of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou Gansu 730050, China
第一作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Yu, Li,Jie, Cao,Chongyu, Ren. The application of the anti-outlier Unscent Kalman filter in the integrated GPS/DR orientation[C]:IEEE Computer Society,2009:87-90.