NDLI: Extended Kalman filtering for pico-satellites attitude determination

Content Provider	IEEE Xplore Digital Library
Author	Nasri, M.T. Kinsner, W.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB, Canada (Nasri, M.T.; Kinsner, W.)
Abstract	The extended Kalman filter (EKF) algorithm has been applied widely in orbital guidance and navigations problems for miniand micro-satellites. This paper evaluates the performance and computational complexity of EKF for smaller satellites. The impact of some limitations, including low power and computing capabilities on the implementation of EKF in smaller satellites is also addressed. The filter formulation is based on a kinematics model propagated with three-axis rate integrating gyros, where the attitude is parameterized using quaternions. A multiplicative quaternion-error approach is used to define the attitude error, which ensures that quaternion normalization is maintained. The results indicate that the EKF is sensitive to initial conditions. Using TRIAD algorithm to determine initial conditions, the filter converges after 50 minutes with an average error of 1.5°, but may diverge for extreme cases. The time and space complexities of EKF have also been estimated to be $O(n^{3})$ and $O(n^{2}),$ respectively.
Starting Page	1
Ending Page	5
File Size	1573099
Page Count	5
File Format	PDF
ISBN	9781479900312
ISSN	08407789
e-ISBN	9781479900336
e-ISBN	9781479900329
DOI	10.1109/CCECE.2013.6567843
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-05
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quaternions Covariance matrices Position measurement Kalman filters Estimation Space vehicles Noise computational complexity of EKF Extended Kalman filter (EKF) pico-satellites attitude determination
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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