Star sensor error correction method based on star point slice image

By using vacuum partition calibration and star point slice image data processing, the problem of insufficient attitude measurement accuracy of satellite star sensors was solved, achieving high-precision attitude measurement and correction, and improving the positioning accuracy of nadir points.

CN121855573APending Publication Date: 2026-04-14SHANGHAI AEROSPACE CONTROL TECH INST
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Patent Information

Application Number
CN202511849569.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-09
Publication Date
2026-04-14

AI Technical Summary

Technical Problem

The attitude measurement accuracy of existing satellite star sensors does not meet the requirements of high-precision imaging and ground processing correction, and is limited by factors such as space, size, cost and reliability.

Method used

The parameters of the star sensor optical system are obtained by vacuum partition calibration method, and error correction is performed using star point slice image data, including on-orbit imaging, attitude measurement and ground correction. Combined with bilinear interpolation and star point centroid filtering, the difference between the center and periphery of the field of view is reduced.

Benefits of technology

It effectively reduces the error caused by optical lens distortion, improves the attitude measurement accuracy of star sensor, reduces the optical axis angle error between star sensor and payload, and improves the positioning accuracy of nadir point.

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Abstract

The invention discloses a star point slice image-based star sensor error correction method. The method comprises a vacuum partition calibration method, a star point slice image data structure design method, a predicted star point distortion correction method and a star point coordinate trajectory fitting method. The vacuum partition calibration comprises the steps of carrying out vacuum preset calibration on the ground and dividing view field partition calibration according to an imaging area; the data structure of the star point slice image comprises coordinates, gray scale information, a star catalogue sequence number and telemetry data packet information of an original slice image of a detection star; the predicted star point distortion correction method comprises the following steps: the star sensor corrects navigation star point coordinates on the basis of current attitude information; the star point coordinate trajectory fitting method comprises the steps of solving a star point slice image fixed star target mass center, carrying out uniform distribution processing on star point target image gray scale data through a bilinear difference value method, and filtering the fixed star target mass center according to multi-frame star point slice image data. And carrying out prediction and filling on the intermittent jump star point or dark weak star point target according to the star point drawing track.
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