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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: [email protected])
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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

REFERENCES

Denver, T. (2004). Motion Compensation Techniques for Aerospace. Kongens Lyngby: Technical University of Denmark, 7–72.Google Scholar
Gonzalez, R. C. and Woods, R. E. (2002). Digital Image Processing. Prentice Hall.Google Scholar
Ho, K. (2012). A survey of algorithms for star identification with low-cost star trackers. Acta Astronautica, 73, 156–163.Google Scholar
Ju, G. and Junkins, J. L. (2003). Overview of star tracker technology and its trends in research and development. Advances in the Astronautical Sciences, 115, 461–477.Google Scholar
Liebe, C. C. (2002). Accuracy Performance of Star Trackers: A Tutorial. IEEE Transactions on Aerospace and Electronic Systems, 38(2), 587–599.CrossRefGoogle Scholar
Liebe, C. C., Gromov, K. and Meller, D. M. (2004). Toward a stellar gyroscope for spacecraft attitude determination. Journal of Guidance, Control, and Dynamics, 27(1), 91–99.Google Scholar
Liu, B., Wang, K. D. and Zhang, C. (2011). Star pattern recognition algorithm aided by inertial information. Proceedings of SPIE, 8196, Beijing, China.Google Scholar
Quan, W. and Zhang, W. (2011). Restoration of Motion-smeared Star Image Based on Wiener Filter. Proceedings of IEEE 4th International Conference on Intelligent Computation Technology and Automation, Shenzhen, Guangdong, China, 691–694.Google Scholar
Rufino, G. and Accardo, D. (2003). Enhancement of the centroiding algorithm for star tracker measure refinement. Acta Astronautica, 53(2), 135–147.Google Scholar
Samaan, M. A., Mortari, D., Pollock, T. C. and Junkins, J. L. (2002). Predictive Centroiding for Single and Multiple FOVs Star Trackers. Advances in the Astronautical Sciences, 1121, 59–71.Google Scholar
Wang, H. Y., Zhou, W. R. and Cheng, X. (2012). Image Smearing Modeling and Verification for Strap-down Star Sensor. Chinese Journal of Aeronautics, 25(1), 115–123.Google Scholar
Wang, X. H. and Zhao, R. C. (2002). Efficient method for restoration of motion-smeared images. Chinese Journal of Electronics, 11(4), 550–553.Google Scholar
Wu, X. J. and Wang, X. L. (2011). Multiple blur of star image and the restoration under dynamic conditions. Acta Astronautica, 68(11–12), 1903–1913.Google Scholar
Zhao, S. F., Wang, Y., Wang, H. T. and Ji, C. Y. (2011). Study on Dynamic Angle-measurement Compensation for Star Sensor. Proceedings of IEEE 17th International Conference on Natural Computation, Shanghai, China, 255–258.Google Scholar