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Optical Engineering

Autonomous on-orbit calibration of a star tracker camera
Author(s): Hai-bo Liu; Ji-chun Tan; Hui Jia; Xiu-jian Li; Jiong-qi Wang; Jian-kun Yang
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Paper Abstract

We have developed a calibration approach for a star tracker camera. A modified version of the least-squares iteration algorithm combining Kalman filter is put forward, which allows for autonomous on-orbit calibration of the star tracker camera even with nonlinear camera distortions. In the calibration approach, the optimal principal point and focal length are achieved at first via the modified algorithm, and then the high-order focal-plane distortions are estimated using the solution of the first step. To validate this proposed calibration approach, the real star catalog and synthetic attitude data are adopted to test its performance. The test results have demonstrated the proposed approach performs well in terms of accuracy, robustness, and performance. It can satisfy the autonomous on-orbit calibration of the star tracker camera.

Paper Details

Date Published: 1 February 2011
PDF: 8 pages
Opt. Eng. 50(2) 023604 doi: 10.1117/1.3542039
Published in: Optical Engineering Volume 50, Issue 2
Show Author Affiliations
Hai-bo Liu, National Univ. of Defense Technology (China)
Ji-chun Tan, National Univ. of Defense Technology (China)
Hui Jia, National Univ. of Defense Technology (China)
Xiu-jian Li, National Univ. of Defense Technology (China)
Jiong-qi Wang, National Univ. of Defense Technology (China)
Jian-kun Yang, National Univ. of Defense Technology (China)


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