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ShanghaiTech University Knowledge Management System
A starlight navigation algorithm based on two-step Kalman filter method with earth oblateness correction | |
2021-10-01 | |
发表期刊 | 中国惯性技术学报 |
ISSN | 1005-6734 |
卷号 | 29期号:5页码:632-636 and 642 |
发表状态 | 已发表 |
DOI | 10.13695/j.cnki.12-1222/o3.2021.05.011 |
摘要 | To improve the accuracy of the starlight navigation algorithm, a two-step Kalman filter algorithm is proposed. Through first-step star navigation filter preprocessing, a rough satellite position estimation is obtained. The position estimation is introduced into the earth oblateness error correction algorithm and the earth oblateness error in the earth sensor is corrected effectively and autonomously. Then, using the corrected earth sensor outputs to form accurate star angular distance observation information, the starlight navigation algorithm is reused and the navigation messages are precisely determined. The simulation results show that by the two-step Kalman filter algorithm, the accuracy of the geocentric vector measured by the earth sensor is 0.001 °, the three-axis position estimation errors of satellite are 3000 m, and the three-axis velocity estimation errors of the satellite are 4 m/s. Compared with the traditional uncorrected starlight navigation algorithm, the accuracy has been improved by more than 80%. © 2021, Editorial Department of Journal of Chinese Inertial Technology. All right reserved. |
关键词 | Error correction Kalman filters Satellites Earth oblateness Earth sensor Estimation errors Filter method Kalman filter algorithms Navigation algorithms Position estimation Starlight navigation Three axes Unscented Kalman Filter |
收录类别 | EI ; CSCD ; 北大核心 |
语种 | 中文 |
出版者 | Editorial Department of Journal of Chinese Inertial Technology |
EI入藏号 | 20220411499650 |
EI主题词 | Navigation |
EI分类号 | 655.2 Satellites |
原始文献类型 | Journal article (JA) |
文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/153598 |
专题 | 信息科学与技术学院_硕士生 信息科学与技术学院_特聘教授组_林宝军组 信息科学与技术学院_博士生 |
通讯作者 | Lin, Baojun |
作者单位 | 1.Shanghai Engineering Center for Microsatellites, Shanghai; 201210, China; 2.Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing; 100094, China; 3.University of Chinese Academy of Sciences, Beijing; 100094, China; 4.Shanghai Tech University, Shanghai; 201210, China; 5.Innovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai; 201210, China |
通讯作者单位 | 上海科技大学 |
推荐引用方式 GB/T 7714 | Lin, Xia,Lin, Baojun,Liu, Yingchun,et al. A starlight navigation algorithm based on two-step Kalman filter method with earth oblateness correction[J]. 中国惯性技术学报,2021,29(5):632-636 and 642. |
APA | Lin, Xia,Lin, Baojun,Liu, Yingchun,Bai, Tao,&Wu, Guoqiang.(2021).A starlight navigation algorithm based on two-step Kalman filter method with earth oblateness correction.中国惯性技术学报,29(5),632-636 and 642. |
MLA | Lin, Xia,et al."A starlight navigation algorithm based on two-step Kalman filter method with earth oblateness correction".中国惯性技术学报 29.5(2021):632-636 and 642. |
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