Improving precise point positioning performance based on Prophet model

Area of Science:

• Geodesy and Geomatics Engineering
• Satellite Navigation Systems
• Time Series Analysis

Background:

• Precision Point Positioning (PPP) is crucial for navigation but limited by Satellite Clock Bias (SCB) prediction accuracy.
• Existing ultra-rapid ephemeris predictions (IGU-P) lack the quality and real-time performance needed for practical PPP applications.
• Accurate SCB prediction is vital for mitigating positioning errors in PPP.

Purpose of the Study:

• To enhance the accuracy of PPP by improving SCB prediction.
• To evaluate the effectiveness of the Prophet model for SCB prediction using IGS ultra-rapid ephemeris data.
• To compare the performance of the Prophet model against existing methods like IGU-P.

Main Methods:

• Extracted SCB sequences from IGS ultra-rapid ephemeris (IGU-O).
• Calculated SCB single difference sequences between adjacent epochs.
• Applied the Prophet model to predict SCB single difference sequences.
• Integrated predicted SCB values into PPP positioning equations.

Main Results:

• The Prophet model achieved significant improvements in SCB prediction accuracy, ranging from 48.8% to 61.7% compared to IGU-P for four satellites.
• PPP positioning accuracy showed marked improvements: 26% in the North, 35% in the East, and 19% in the Up directions.
• The Prophet model demonstrated superior performance over IGU-P in both SCB prediction and subsequent PPP positioning.

Conclusions:

• The Prophet model offers a substantial advancement in SCB prediction accuracy for PPP.
• The improved SCB prediction directly translates to enhanced real-time PPP positioning performance.
• This research validates the Prophet model as a valuable tool for improving satellite navigation systems.