Autonomous discrimination method of refracted stars based on projection error

Yan Ma; Jie Jiang

doi:10.1117/12.2616073

8 July 2022 Autonomous discrimination method of refracted stars based on projection error

Yan Ma, Jie Jiang

Proceedings Volume 12282, 2021 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems; 1228208 (2022) https://doi.org/10.1117/12.2616073
Event: 2021 International Conference on Optical Instruments and Technology, 2022, Online Only

Abstract

Correctly distinguishing between refracted stars and nonrefracted stars is a prerequisite for a single field of view celestial navigation system. An autonomous discrimination method of refracted stars based on projection error is proposed that distinguishes between refracted and nonrefracted stars and estimates the attitude simultaneously depending only on knowledge of the star point centroid coordinates. Firstly, a rough attitude is calculated according to the body vectors and inertia vectors of all stars in the image. Next, for each of the stars, the reprojection vector is calculated and compared with its body vector. Stars with large residual errors are classified as refracted stars. Then the attitude is recomputed without these refracted stars until all the residual errors are small. The classification precision is 98% and the attitude estimation error can be reduced by 68% compared with the attitude estimated before refracted star discrimination.

Citation Download Citation

Yan Ma and Jie Jiang "Autonomous discrimination method of refracted stars based on projection error", Proc. SPIE 12282, 2021 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 1228208 (8 July 2022); https://doi.org/10.1117/12.2616073

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KEYWORDS

Stars

Refraction

Error analysis

Cameras

Earth's atmosphere

Imaging systems

Image processing

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