Highly Efficient Sigma Point Filter for Spacecraft Attitude and Rate Estimation
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-23, 23 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-01-04
Country of Publication
Egypt
No. of Pages
23
Main Subjects
Abstract EN
Nonlinearities in spacecraft attitude determination problem has been studied intensively during the past decades.
Traditionally, multiplicative extended Kalman filter_MEKF_algorithm has been a good solution for most nominal space missions.
But in recent years, advances in space missions deserve a revisit of the issue.
Though there exist a variety of advanced nonlinear filtering algorithms, most of them are prohibited for actual onboard implementation because of their overload computational complexity.
In this paper, we address this difficulty by developing a new algorithm framework based on the marginal filtering principle, which requires only 4 sigma points to give a complete 6-state attitude and angular rate estimation.
Moreover, a new strategy for sigma point construction is also developed to further increase the efficiency and numerical accuracy.
Incorporating the presented framework and novel sigma points, we proposed a new, nonlinear attitude and rate estimator, namely, the Marginal Geometric Sigma Point Filter.
The new algorithm is of the same precision as traditional unscented Kalman filters, while keeping a significantly lower computational complexity, even when compared to the reduced sigma point algorithms.
In fact, it has truly rivaled the efficiency of MEKF, even when simple closed-form solutions are involved in the latter.
American Psychological Association (APA)
Fan, Chunshi& You, Zheng. 2010. Highly Efficient Sigma Point Filter for Spacecraft Attitude and Rate Estimation. Mathematical Problems in Engineering،Vol. 2009, no. 2009, pp.1-23.
https://search.emarefa.net/detail/BIM-477139
Modern Language Association (MLA)
Fan, Chunshi& You, Zheng. Highly Efficient Sigma Point Filter for Spacecraft Attitude and Rate Estimation. Mathematical Problems in Engineering No. 2009 (2009), pp.1-23.
https://search.emarefa.net/detail/BIM-477139
American Medical Association (AMA)
Fan, Chunshi& You, Zheng. Highly Efficient Sigma Point Filter for Spacecraft Attitude and Rate Estimation. Mathematical Problems in Engineering. 2010. Vol. 2009, no. 2009, pp.1-23.
https://search.emarefa.net/detail/BIM-477139
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-477139