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A New Restoration Algorithm for the Smeared Image of a SINS-aided Star Sensor

Published online by Cambridge University Press:  07 May 2014

Kedong Wang ,
Chao Zhang ,
Yong Li  and
Xin Kan
Kedong Wang*
Affiliation:
(Beihang University, Beijing 100191, China)
Chao Zhang
Affiliation:
(Beihang University, Beijing 100191, China)
Yong Li
Affiliation:
(University of New South Wales, Sydney NSW 2052, Australia)
Xin Kan
Affiliation:
(Harbin Institute of Technology, Harbin 15001, China)
*
(E-mail: wangkd@buaa.edu.cn)
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Abstract

The accuracy of attitude determination using a star sensor tends to be degraded if the host vehicle's manoeuvring smears the star image. In this paper, a new restoration algorithm with the aid of a Strap-down Inertial Navigation System (SINS) is proposed to reduce the effect of the smeared image. The smeared trace length is estimated with aid of the SINS angular rate. The restoration algorithm based on a Wiener filter is designed after the smeared zone is derived with the aid of the SINS coarse attitude. A tracking method is proposed to reject the stars of low centroid extraction accuracy. Simulations demonstrate that the success rate and the accuracy of attitude determination are improved significantly by the restoration algorithm even under a very fast rotation. The impact of the SINS error on the restoration is evaluated in the simulations.

Keywords

Star sensorCelestial navigation systemImage smearingImage restoration
Type
Research Article
Information
The Journal of Navigation , Volume 67 , Issue 5 , September 2014 , pp. 881 - 898
Copyright
Copyright © The Royal Institute of Navigation 2014 

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References

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