Attitude computation algorithm for star camera based on combining calibration and attitude determination processes

2020 ◽  
Vol 59 (21) ◽  
pp. 6399
Author(s):  
Mi Wang ◽  
Jianping Zhao ◽  
Shuying Jin ◽  
Yufeng Cheng
2018 ◽  
Vol 930 (12) ◽  
pp. 2-8
Author(s):  
A.A. Kluykov

The article represents the algorithm of attitude determination in gradiometer coordinate system with respect to inertial space. The problem can be solved in two steps. The first step is to determine the values of matrix transformation from celestial system (ICRF) to star camera coordinate system (SSRF) using observations star. The second step is to determine the values of matrix transformation from star camera coordinate system (SSRF) to gradiometer coordinate system (GRF). This problem is solved through mounting sensor systems on board of a satellite. Due to the mission GOCE three star cameras are mounted there. The matrix of transformation from star camera coordinate system (SSRF) to gradiometer coordinate system (GRF) is determined for every star camera. The values of transformation matrix are represented in file of data AUX_EGG_DB. Processing star camera’s (star cameras’) observations include the following steps


2021 ◽  
Author(s):  
Brendon Vaz

Star trackers are perhaps the most accurate means of measuring a spacecraft's orientation in space and are becoming a popular sensing instrument for attitude determination systems amongst conventional larger satellites as well as micro satellites. In order to produce and maintain high fidelity measurements, the systematic effects of lens distortion and possible sensor alterations due to environmental changes and instrument aging must all be accounted for through calibration, both on the ground and on orbit. In this study, a calibration method is presented to account for errors in star camera parameters, namely the focal length, bore sight offset, higher order radial distortion terms and the tip and tilt of the detector array in relation to the lens arrangement. This method does not depend on a costly high-precision lab setup; instead it simply employs the star camera images and a star catalogue to calibrate the instrument given reasonable initial estimates. This allows for a reduction in pre-mission calibration requirements and is feasible for an online implementation, allowing the star tracker to calibrate itself through out its life-cycle.


2020 ◽  
Vol 49 (1) ◽  
pp. 128001-128001
Author(s):  
王昱 Yu WANG ◽  
蒋唯娇 Wei-jiao JIANG

2021 ◽  
Author(s):  
Brendon Vaz

Star trackers are perhaps the most accurate means of measuring a spacecraft's orientation in space and are becoming a popular sensing instrument for attitude determination systems amongst conventional larger satellites as well as micro satellites. In order to produce and maintain high fidelity measurements, the systematic effects of lens distortion and possible sensor alterations due to environmental changes and instrument aging must all be accounted for through calibration, both on the ground and on orbit. In this study, a calibration method is presented to account for errors in star camera parameters, namely the focal length, bore sight offset, higher order radial distortion terms and the tip and tilt of the detector array in relation to the lens arrangement. This method does not depend on a costly high-precision lab setup; instead it simply employs the star camera images and a star catalogue to calibrate the instrument given reasonable initial estimates. This allows for a reduction in pre-mission calibration requirements and is feasible for an online implementation, allowing the star tracker to calibrate itself through out its life-cycle.


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