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Influence analysis of measurement errors in satellite attitude determination based on extended Kalman filter

Published online by Cambridge University Press:  27 January 2016

Y. Jiao*
Affiliation:
Department of Mathematics and Systems Science, National University of Defense Technology, Hunan, China
J. Wang*
Affiliation:
Department of Mathematics and Systems Science, National University of Defense Technology, Hunan, China
X. Pan*
Affiliation:
Department of Mathematics and Systems Science, National University of Defense Technology, Hunan, China
H. Zhou*
Affiliation:
Space Intelligent Control Key Laboratory of Science and Technology for National Defense, Beijing, China Department of Mathematics and Systems Science, National University of Defense TechnologyHunan, China

Abstract

The satellite attitude determination approach based on the Extended Kalman Filter (EKF) has been widely used in many real applications. However, the accuracy of this method largely depends on the fitness of measurement model. We aim to analyse the influence of measurement errors to the accuracy of EKF based attitude determination approach in this paper. The measurement errors, which are divided into structural error and nonstructural error by their influences, are analysed in principle. In the setting of the combination of star sensors and gyros, according to the property of innovation, we employ the technique of correlation test to analyse the influences of different kinds of measurement errors. Experimental results demonstrate the effectiveness of our previous analysis.

Type
Research Article
Copyright
Copyright © Royal Aeronautical Society 2012 

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