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Quasi-Stochastic Integration Filter for Nonlinear Estimation
Joint Authors
Li, Ning
Huang, Yu-Long
Wu, Zhe-Min
Zhang, Yong-Gang
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-23
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In practical applications, numerical instability problem, systematic error problem caused by nonlinear approximation, and nonlocal sampling problem for high-dimensional applications, exist in unscented Kalman filter (UKF).
To solve these problems, a quasi-stochastic integration filter (QSIF) for nonlinear estimation is proposed in this paper.
nonlocal sampling problem is solved based on the unbiased property of stochastic spherical integration rule, which can also reduce systematic error and improve filtering accuracy.
In addition, numerical instability problem is solved by using fixed radial integration rule.
Simulations of bearing-only tracking model and nonlinear filtering problem with different state dimensions show that the proposed QSIF has higher filtering accuracy and good numerical stability as compared with existing methods, and it can also solve nonlocal sampling problem effectively.
American Psychological Association (APA)
Zhang, Yong-Gang& Huang, Yu-Long& Wu, Zhe-Min& Li, Ning. 2014. Quasi-Stochastic Integration Filter for Nonlinear Estimation. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-512103
Modern Language Association (MLA)
Zhang, Yong-Gang…[et al.]. Quasi-Stochastic Integration Filter for Nonlinear Estimation. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-512103
American Medical Association (AMA)
Zhang, Yong-Gang& Huang, Yu-Long& Wu, Zhe-Min& Li, Ning. Quasi-Stochastic Integration Filter for Nonlinear Estimation. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-512103
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-512103