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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
ISSN1005-6734
卷号29期号:5页码:632-636 and 642
发表状态已发表
DOI10.13695/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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