Analysis and Correction of the Rolling Shutter Effect for a Star Tracker Based on Particle Swarm Optimization

The rolling shutter effect decreases the accuracy of the attitude measurement of star trackers when they work in rolling shutter exposure mode, especially under dynamic conditions. To solve this problem, a rolling shutter effect correction method based on particle swarm optimization is proposed. Fir...

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Main Authors: Zongqiang Fu, Xiubin Yang, Mo Wu, Andong Yan, Jiamin Du, Suining Gao, Xingyu Tang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/22/5772
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author Zongqiang Fu
Xiubin Yang
Mo Wu
Andong Yan
Jiamin Du
Suining Gao
Xingyu Tang
author_facet Zongqiang Fu
Xiubin Yang
Mo Wu
Andong Yan
Jiamin Du
Suining Gao
Xingyu Tang
author_sort Zongqiang Fu
collection DOAJ
description The rolling shutter effect decreases the accuracy of the attitude measurement of star trackers when they work in rolling shutter exposure mode, especially under dynamic conditions. To solve this problem, a rolling shutter effect correction method based on particle swarm optimization is proposed. Firstly, a collinear reverse installation method between the star tracker and the satellite is proposed, which simplifies the relationship between the velocity of the star centroid and the star tracker angular velocity. Next, the centroid error model is obtained by the star centroid velocity. Based on the centroid error model and angular distance invariance, the loss function of the centroid error is proposed. Then, the particle swarm optimization algorithm is used to determine the star tracker angular velocity by minimizing the loss function. Finally, the simulation and experiments are carried out to verify the proposed method. The experimental results show that the convergence times of the algorithm are less than 50 and the root mean square error (RMSE) of the angular velocity is better than 0.02°/s when the angular velocity of the star tracker is no more than 5°/s.
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spelling doaj.art-9825cfce277e4694b7a0d10da2d9495e2023-11-24T09:50:12ZengMDPI AGRemote Sensing2072-42922022-11-011422577210.3390/rs14225772Analysis and Correction of the Rolling Shutter Effect for a Star Tracker Based on Particle Swarm OptimizationZongqiang Fu0Xiubin Yang1Mo Wu2Andong Yan3Jiamin Du4Suining Gao5Xingyu Tang6Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaThe rolling shutter effect decreases the accuracy of the attitude measurement of star trackers when they work in rolling shutter exposure mode, especially under dynamic conditions. To solve this problem, a rolling shutter effect correction method based on particle swarm optimization is proposed. Firstly, a collinear reverse installation method between the star tracker and the satellite is proposed, which simplifies the relationship between the velocity of the star centroid and the star tracker angular velocity. Next, the centroid error model is obtained by the star centroid velocity. Based on the centroid error model and angular distance invariance, the loss function of the centroid error is proposed. Then, the particle swarm optimization algorithm is used to determine the star tracker angular velocity by minimizing the loss function. Finally, the simulation and experiments are carried out to verify the proposed method. The experimental results show that the convergence times of the algorithm are less than 50 and the root mean square error (RMSE) of the angular velocity is better than 0.02°/s when the angular velocity of the star tracker is no more than 5°/s.https://www.mdpi.com/2072-4292/14/22/5772attitude determinationhigh dynamicstar trackerrolling shutter exposureparticle swarm optimization
spellingShingle Zongqiang Fu
Xiubin Yang
Mo Wu
Andong Yan
Jiamin Du
Suining Gao
Xingyu Tang
Analysis and Correction of the Rolling Shutter Effect for a Star Tracker Based on Particle Swarm Optimization
Remote Sensing
attitude determination
high dynamic
star tracker
rolling shutter exposure
particle swarm optimization
title Analysis and Correction of the Rolling Shutter Effect for a Star Tracker Based on Particle Swarm Optimization
title_full Analysis and Correction of the Rolling Shutter Effect for a Star Tracker Based on Particle Swarm Optimization
title_fullStr Analysis and Correction of the Rolling Shutter Effect for a Star Tracker Based on Particle Swarm Optimization
title_full_unstemmed Analysis and Correction of the Rolling Shutter Effect for a Star Tracker Based on Particle Swarm Optimization
title_short Analysis and Correction of the Rolling Shutter Effect for a Star Tracker Based on Particle Swarm Optimization
title_sort analysis and correction of the rolling shutter effect for a star tracker based on particle swarm optimization
topic attitude determination
high dynamic
star tracker
rolling shutter exposure
particle swarm optimization
url https://www.mdpi.com/2072-4292/14/22/5772
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