A new algorithm for satellite autonomous navigation based on information fusion

Miao Ying; Sun Zhaowei

doi:10.1109/ISSCAA.2008.4776364

A new algorithm for satellite autonomous navigation based on information fusion

Miao Ying^*
, Sun Zhaowei

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

In this paper, an effective and reliable algorithm for satellite autonomous navigation is proposed. In order to speed the convergence of navigation errors, the autonomous navigation algorithm is designed with information fusion of magnetometer and radar altimeter. In this algorithm, a modified UKF is applied to perform the information fusion.Compare with conventional UKF and EKF, the modified UKF simplified the estimating process, improves the efficiency.Through the combined filter, a global optimum estimated state value is obtained. Simulation results show this information fusion navigation algorithm is steady and converge fast.

Original language	English
DOIs	https://doi.org/10.1109/ISSCAA.2008.4776364
State	Published - 2008
Event	2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics, ISSCAA 2008 - Shenzhen, China Duration: 10 Dec 2008 → 12 Dec 2008

Conference

Conference	2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics, ISSCAA 2008
Country/Territory	China
City	Shenzhen
Period	10/12/08 → 12/12/08

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10.1109/ISSCAA.2008.4776364

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title = "A new algorithm for satellite autonomous navigation based on information fusion",

abstract = "In this paper, an effective and reliable algorithm for satellite autonomous navigation is proposed. In order to speed the convergence of navigation errors, the autonomous navigation algorithm is designed with information fusion of magnetometer and radar altimeter. In this algorithm, a modified UKF is applied to perform the information fusion.Compare with conventional UKF and EKF, the modified UKF simplified the estimating process, improves the efficiency.Through the combined filter, a global optimum estimated state value is obtained. Simulation results show this information fusion navigation algorithm is steady and converge fast.",

author = "Miao Ying and Sun Zhaowei",

year = "2008",

doi = "10.1109/ISSCAA.2008.4776364",

language = "英语",

note = "2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics, ISSCAA 2008 ; Conference date: 10-12-2008 Through 12-12-2008",

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AU - Zhaowei, Sun

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AB - In this paper, an effective and reliable algorithm for satellite autonomous navigation is proposed. In order to speed the convergence of navigation errors, the autonomous navigation algorithm is designed with information fusion of magnetometer and radar altimeter. In this algorithm, a modified UKF is applied to perform the information fusion.Compare with conventional UKF and EKF, the modified UKF simplified the estimating process, improves the efficiency.Through the combined filter, a global optimum estimated state value is obtained. Simulation results show this information fusion navigation algorithm is steady and converge fast.

UR - https://www.scopus.com/pages/publications/66449122152

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DO - 10.1109/ISSCAA.2008.4776364

M3 - 论文

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T2 - 2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics, ISSCAA 2008

Y2 - 10 December 2008 through 12 December 2008

ER -

A new algorithm for satellite autonomous navigation based on information fusion

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