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Real-time GNSS precise point positioning (PPP) is an essential tool for numerous applications in the Earth sciences, navigation, surveying, as well as in early warning systems for geo-hazards. It requires precise information about satellite orbits and clock offsets that have to be distributed to the user as correction streams with a delay of only a few seconds. While satellite orbits can be predicted with high precision for a few hours, satellite clocks have to be estimated from observation data in real-time. In this contribution, we introduce the new GFZ in-house real-time GNSS network analysis software. GPS, GLONASS, and Galileo satellite clocks are determined every 5 s with a recursive least-squares estimator, making use of a sequential scalar implementation of the Kalman filter. For the detection of cycle slips, the computationally efficient concept of single-receiver, single-channel integrity is applied. The generated products are evaluated by means of a comparison to the post-processed CODE rapid solutions and with real-time PPP examples. The new GFZ corrections streams are available through the Real-Time Service (RTS) of the International GNSS Service (IGS).

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Multi-GNSS Real-Time Precise Clock Estimation at GFZ: Introduction and Evaluation of New Data Product

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  • 出版模式：

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  • 发表日期：

    2026年

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  • Andreas Brack,
  • Shengping He,
  • Jens Wickert

摘要

Real-time GNSS precise point positioning (PPP) is an essential tool for numerous applications in the Earth sciences, navigation, surveying, as well as in early warning systems for geo-hazards. It requires precise information about satellite orbits and clock offsets that have to be distributed to the user as correction streams with a delay of only a few seconds. While satellite orbits can be predicted with high precision for a few hours, satellite clocks have to be estimated from observation data in real-time. In this contribution, we introduce the new GFZ in-house real-time GNSS network analysis software. GPS, GLONASS, and Galileo satellite clocks are determined every 5 s with a recursive least-squares estimator, making use of a sequential scalar implementation of the Kalman filter. For the detection of cycle slips, the computationally efficient concept of single-receiver, single-channel integrity is applied. The generated products are evaluated by means of a comparison to the post-processed CODE rapid solutions and with real-time PPP examples. The new GFZ corrections streams are available through the Real-Time Service (RTS) of the International GNSS Service (IGS).