Volume 35 Issue 3
Mar.  2010
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SONG Min, YUAN Yunbin. Autonomous Navigation for Lunar Satellite Based on Information Fusion[J]. Geomatics and Information Science of Wuhan University, 2010, 35(3): 257-260.
Citation: SONG Min, YUAN Yunbin. Autonomous Navigation for Lunar Satellite Based on Information Fusion[J]. Geomatics and Information Science of Wuhan University, 2010, 35(3): 257-260.
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Autonomous Navigation for Lunar Satellite Based on Information Fusion

  • 1Institute of Geodesy and Geophysics,Chinese Academy of Sciences,340 Xudong Street,Wuhan 430077,China;2Graduate School of Chinese Academy of Sciences,A19 Yuquan Road,Beijing 100049,China

Funds: 国家杰出青年科学基金资助项目(40625013)；国家863计划资助项目(2007AA12Z311)；国家自然科学基金资助项目(40890160)
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  • Received Date: January 12, 2009
  • Revised Date: January 12, 2009
  • Published Date: March 04, 2010
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    • Abstract
  • We propose a multi-source information autonomous navigation scheme,which composes of star sensor,ultraviolet moon sensor and the altimeter for satellite around Moon.Unscented Kalman filtering(UKF)is used in nonlinear systems.The optimal orbit of the satellite is determined by a federated Kalman filter which realizes information complement based on a new information fusion algorithm.We also compared with the extend Kalman filtering(EKF)based on information fusion.The effectiveness of the navigation scheme was implemented by numerical simulations.The simulation results show that UKF information fusion algorithm can improve the navigation precision and reliabilities.
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