• Title/Summary/Keyword: Orbital Integrator

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GPS Satellite Orbit Prediction Based on Unscented Kalman Filter

  • Zheng, Zuoya;Chen, Yongqi;Xiushan, Lu;Zhixing, Du
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.1
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    • pp.191-196
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    • 2006
  • 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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