Star Tracker Geometric Calibration Through Full-State Estimation Including Attitude

Author:

Yoon HyosangORCID,Baeck Kiwook,Wi Junsung

Abstract

AbstractA star tracker calibration method using star images is presented in this paper. Unlike previous works, the proposed method estimates all parameters and the attitudes at once in a single least-squares formulation for the optimal calibration, which can be easily converted to a recursive estimation form. In addition, this paper presents a method to estimate the overall star tracker performance for attitude determination from the calibration results. Since the proposed method uses star images only, it can be applied to both on-orbit and ground star tracker calibration. The simulations show improvements in calibration performance about four times compared to the previous calibration method. The calibration experiments with actual star images are conducted to test its application.

Funder

National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Aerospace Engineering,General Materials Science,Control and Systems Engineering

Reference23 articles.

1. Dzamba T, Enright J, Sinclair D, Amankwah K (2014) Success by 1000 improvements: flight qualification of the ST-16 star tracker. In: 28th annual AIAA/USU conference on small satellites, pp 1–14

2. Enright J, Jovanovic I, Vaz B (2018) Autonomous recalibration of star trackers. IEEE Sens J 18(18):7708–7720

3. Fan Q, He K, Wang G (2020) Star sensor calibration with separation of intrinsic and extrinsic parameters. Opt Express 28(14):21318–21335

4. Griffith DT, Singla P, Junkins JL (2002) Autonomous on-orbit calibration approaches for star tracker cameras. Adv Astronaut Sci 112:39–57

5. Klaus A, Bauer J, Karner K, Elbischger P, Perko R, Bischof H (2004) Camera calibration from a single night sky image. In: Proceedings of the 2004 IEEE Computer Society Conference on computer vision and pattern recognition, 2004. CVPR 2004., vol. 1, pp. I–I. IEEE

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3