Performance study of real-time PPP based on broadcast ephemeris

A real-time PPP method based on broadcast ephemeris was designed to solve the problem that IGS precision products have a certain delay and the network may be unstable in driving. Equation is deduced in this paper, based on the original observation applies to multi-frequency multi-mode under three frequency (TDF) and the ionosphere two combination model, considering the dynamic factors such as environment, data processing using the extended kalman filtering through the station observation data dynamically in imitation experiment to evaluate the proposed approach. Results show that compared with single GPS system, multiple systems on the positioning accuracy and convergence time is improved, especially at the zenith direction, from the original 5.32cm to 0.82cm, have larger ascension. Compared with the dual-frequency ionosphere-free model, although there is no significant improvement in the horizontal direction, there is a significant improvement in the zenith direction. The positioning accuracy reaches 0.82cm, although there is no significant improvement in the horizontal direction, and the zenith direction accuracy is improved by 46.4%.

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Publication Details

Published
2024-11-27
DOI
https://doi.org/10.1117/12.3048736
Primary Topic
Mobile Agent-Based Network Management
Type
article
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article

Performance study of real-time PPP based on broadcast ephemeris

Yucheng Zhang, Junqin Wu
Mobile Agent-Based Network Management
article

Performance study of real-time PPP based on broadcast ephemeris

Yucheng Zhang, Junqin Wu
article en

Abstract

A real-time PPP method based on broadcast ephemeris was designed to solve the problem that IGS precision products have a certain delay and the network may be unstable in driving. Equation is deduced in this paper, based on the original observation applies to multi-frequency multi-mode under three frequency (TDF) and the ionosphere two combination model, considering the dynamic factors such as environment, data processing using the extended kalman filtering through the station observation data dynamically in imitation experiment to evaluate the proposed approach. Results show that compared with single GPS system, multiple systems on the positioning accuracy and convergence time is improved, especially at the zenith direction, from the original 5.32cm to 0.82cm, have larger ascension. Compared with the dual-frequency ionosphere-free model, although there is no significant improvement in the horizontal direction, there is a significant improvement in the zenith direction. The positioning accuracy reaches 0.82cm, although there is no significant improvement in the horizontal direction, and the zenith direction accuracy is improved by 46.4%.

Jiangxi University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 76%
Mobile Agent-Based Network Management
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