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Adaptive celestial positioning for the stationary Mars rover based on a self-calibration model for the star sensor

Published online by Cambridge University Press:  17 August 2021

Yinhu Zhan ,
Shaojie Chen  and
Xu Zhang
Yinhu Zhan*
Affiliation:
Information Engineering University, Zhengzhou, China.
Shaojie Chen
Affiliation:
National Time Service Centre, Chinese Academy of Sciences, Xian, China. University of Chinese Academy of Sciences, Beijing, China
Xu Zhang
Affiliation:
Information Engineering University, Zhengzhou, China.
*
*Corresponding author. E-mail: [email protected]
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Abstract

This paper proposes a method for self-calibrating the star sensor on the Mars rover considering several years of exploration on the surface of Mars. The natural stars in the night sky are considered the control points, and a self-calibration model is deduced in detail according to an imaging model. An adaptive celestial positioning (ACP) algorithm is then introduced, and the calculation procedure is presented in detail to realise self-adjustment based on the self-calibration of the star sensor. Three field tests were conducted on Earth, the results of which show good self-calibration and celestial positioning performances. The positioning results indicate an obvious accuracy improvement using the ACP algorithm compared with that without calibration. Multiple positionings in one night can improve the celestial positioning accuracy to approximately 15 m. For future studies, this self-calibration model will be useful not only for star sensors but also for other optical sensors, such as sun sensors and binocular or stereo-vision cameras.

Keywords

Mars roverstar sensorcelestial positioningcalibration modelpositioning accuracy
Type
Research Article
Information
The Journal of Navigation , Volume 75 , Issue 1 , January 2022 , pp. 160 - 175
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

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