A New Restoration Algorithm for the Smeared Image of a SINS-aided Star Sensor. (September 2014)

• Record Type: Journal Article
• Authors: Wang, Kedong; Zhang, Chao; Li, Yong; Kan, Xin
• Is Part Of: Journal of navigation. Volume 67:Number 5(2014)
• Page Start: 881
• Page End: 898
• Publication Date: 2014-09
• Subjects: Navigation -- Periodicals; 623.8905
• DOI: 10.1017/S0373463314000277
• Languages: English
• ISSNs: 0373-4633

Abstract

<abstract abstract-type="normal"> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <p>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.</p> </abstract>