Proceedings of the Korean Institute of Navigation and Port Research Conference (한국항해항만학회:학술대회논문집)

Korean Institute of Navigation and Port Research (한국항해항만학회)
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GPS Satellite Orbit Prediction Based on Unscented Kalman Filter

  • Zheng, Zuoya (Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, College of Geo-information Science and Engineering, SDUST) ;
  • Chen, Yongqi (Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University) ;
  • Xiushan, Lu (College of Geo-information Science and Engineering, SDUST) ;
  • Zhixing, Du (College of Geo-information Science and Engineering, SDUST)
  • Published : 2006.10.18
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Abstract

In GPS Positioning, the error of satellite orbit will affect user's position accuracy directly, it is important to determine the satellite orbit precise. The real-time orbit is needed in kinematic GPS positioning, the precise GPS orbit from IGS would be delayed long time, so orbit prediction is key to real-time kinematic positioning. We analyze the GPS predicted ephemeris, on the base of comparison of EKF and UKF, a new orbit prediction method is put forward based on UKF in this paper, the result shows that UKF improves the orbit predicted precision and stability. It offers a new method for others satellites orbit determination as Galileo, and so on.

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