A star tracking algorithm suitable for star sensor

Baohua Li; Yingchun Zhang; Huayi Li; Changhong Wang

doi:10.1117/12.725807

5 March 2007 A star tracking algorithm suitable for star sensor

Baohua Li, Yingchun Zhang, Huayi Li, Changhong Wang

Proceedings Volume 6595, Fundamental Problems of Optoelectronics and Microelectronics III; 659523 (2007) https://doi.org/10.1117/12.725807
Event: Fundamental Problems of Optoelectronics and Microelectronics III, 2006, Harbin, China

Abstract

The sufficient attitude knowledge including location of recognized stars in star image can be obtained with Lost-in-Space case. In order to make use of the sufficient attitude knowledge, the star sensor may work in star tracking case. To achieve this, a star tracking algorithm is proposed in this paper. The previous location of recognized stars in star image may be used to obtain location of observed star in proper region of current star image with the star tracking algorithm. The simulations and real sky experiment results show that the star tracking algorithm proposed in this paper not only improves update rate of star sensor, but also avoids fault star pattern recognition. Finally, a star sensor featuring star tracking algorithm proposed in this paper was for on-orbit demonstration.

Citation Download Citation

Baohua Li, Yingchun Zhang, Huayi Li, and Changhong Wang "A star tracking algorithm suitable for star sensor", Proc. SPIE 6595, Fundamental Problems of Optoelectronics and Microelectronics III, 659523 (5 March 2007); https://doi.org/10.1117/12.725807

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available