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A sequential processing method for converted measurement Kalman filters based on orthogonal transform
Tian, Junlin1,2; Fu, Chengyu1; Tang, Tao1; Tian, J. (tianjunlin22@163.com)
Volume107 LNEE
Pages19-27
2012
Language英语
ISSN18761100
DOI10.1007/978-94-007-1839-5_3
Indexed ByEi
Subtype会议论文
AbstractTo effectively reduce computational requirements of converted measurement Kalman filters (CMKF), a sequential processing method was presented in this paper. Firstly, the spherical measurement of the target position was converted into Cartesian coordinate domain, resulting in converted measurement error and the corresponding statistics (mean and covariance). Secondly, a sequential processing method which sequentially treated scalar components of the converted measurement vector, was derived based on orthogonal transform. Finally, the proposed sequential processing method was utilized to implement the CMKF algorithm for a target tracking scenario. The simulation results show that the proposed method can effectively reduce the computational requirements of CMKF algorithm while achieving desired tracking performance. © 2012 Springer Science+Business Media B.V.; To effectively reduce computational requirements of converted measurement Kalman filters (CMKF), a sequential processing method was presented in this paper. Firstly, the spherical measurement of the target position was converted into Cartesian coordinate domain, resulting in converted measurement error and the corresponding statistics (mean and covariance). Secondly, a sequential processing method which sequentially treated scalar components of the converted measurement vector, was derived based on orthogonal transform. Finally, the proposed sequential processing method was utilized to implement the CMKF algorithm for a target tracking scenario. The simulation results show that the proposed method can effectively reduce the computational requirements of CMKF algorithm while achieving desired tracking performance. © 2012 Springer Science+Business Media B.V.
Conference NameLecture Notes in Electrical Engineering, Computer, Informatics, Cybernetics and Applications - International Conference on Computer, Informatics, Cybernetics and Applications 2011, CICA 2011
Conference Date2012
Citation statistics
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7382
Collection光电工程总体研究室(一室)
Corresponding AuthorTian, J. (tianjunlin22@163.com)
Affiliation1. Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China
2. Graduate School, Chinese Academy of Sciences, Beijing 100039, China
Recommended Citation
GB/T 7714
Tian, Junlin,Fu, Chengyu,Tang, Tao,et al. A sequential processing method for converted measurement Kalman filters based on orthogonal transform[C],2012:19-27.
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