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Multiple Adaptive Fading Schmidt-Kalman Filter for Unknown Bias
Joint Authors
Wang, Zhihua
Lou, Tai-Shan
Xiao, Meng-Li
Fu, Hui-Min
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-24
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Unknown biases in dynamic and measurement models of the dynamic systems can bring greatly negative effects to the state estimates when using a conventional Kalman filter algorithm.
Schmidt introduces the “consider” analysis to account for errors in both the dynamic and measurement models due to the unknown biases.
Although the Schmidt-Kalman filter “considers” the biases, the uncertain initial values and incorrect covariance matrices of the unknown biases still are not considered.
To solve this problem, a multiple adaptive fading Schmidt-Kalman filter (MAFSKF) is designed by using the proposed multiple adaptive fading Kalman filter to mitigate the negative effects of the unknown biases in dynamic or measurement model.
The performance of the MAFSKF algorithm is verified by simulation.
American Psychological Association (APA)
Lou, Tai-Shan& Wang, Zhihua& Xiao, Meng-Li& Fu, Hui-Min. 2014. Multiple Adaptive Fading Schmidt-Kalman Filter for Unknown Bias. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1044400
Modern Language Association (MLA)
Lou, Tai-Shan…[et al.]. Multiple Adaptive Fading Schmidt-Kalman Filter for Unknown Bias. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1044400
American Medical Association (AMA)
Lou, Tai-Shan& Wang, Zhihua& Xiao, Meng-Li& Fu, Hui-Min. Multiple Adaptive Fading Schmidt-Kalman Filter for Unknown Bias. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1044400
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044400