Paper
12 December 2018 An approach on motion blurred star map simulation for star sensor
Xiaofang Shen, Chaoshan Liu, Yang Gao, Zhanrong Zhou, Jiating Xu
Author Affiliations +
Proceedings Volume 10846, Optical Sensing and Imaging Technologies and Applications; 108460L (2018) https://doi.org/10.1117/12.2503885
Event: International Symposium on Optoelectronic Technology and Application 2018, 2018, Beijing, China
Abstract
In order to test the high dynamic performance of the on-orbit star sensor and develop better software for motion compensation, a simulation algorithm of blurred star image is proposed. First, the projection position of the guide star on the star sensor image plan is calculated by the pinhole model. And considering the motion blurred of the star image because of the carrier motion, the image motion velocity model is build. Second, based on the angular distance of the star sensor bore-sight, searching guided star in the field of view. Third, the gray-scale of the star image is simulated from the image motion velocity model by adding noises. The simulation tests show that the proposed method has better computation speed and precision.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaofang Shen, Chaoshan Liu, Yang Gao, Zhanrong Zhou, and Jiating Xu "An approach on motion blurred star map simulation for star sensor", Proc. SPIE 10846, Optical Sensing and Imaging Technologies and Applications, 108460L (12 December 2018); https://doi.org/10.1117/12.2503885
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Cited by 1 scholarly publication and 1 patent.
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KEYWORDS
Stars

Star sensors

Computer simulations

Motion models

Image sensors

Digital micromirror devices

Algorithm development

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