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Author

Tian-Jun Liu

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Open access Sep 2026

Robust Machine Learning–Based Ionospheric Delay Grid Modeling for PPP‐RTK Under Sparse Reference Stations and Severe Geomagnetic Disturbance

Sparse reference station networks and severe geomagnetic disturbances can significantly degrade the accuracy of regional ionospheric delay modeling at the network side, thereby reducing the positioning performance of PPP‐RTK. To address this issue, this study proposes a machine learning‐based ionospheric delay grid mod...

Lin-Yu He, Wei-Ping Jiang, Hua Chen et al. · 0 citations
Open access Sep 2026

Enhancing PPP-RTK performance in sparse reference networks and complex terrain via Pangu-Weather Model and GNSS integration

A novel tropospheric delay modeling method that integrates tropospheric delays derived from the Pangu-Weather Model with Global Navigation Satellite System (GNSS) observations to enhance PPP-RTK positioning performance and demonstrates the effectiveness, robustness, and applicability of the proposed method.

Lin-Yu He, Xing-Yu Zhou, Hua Chen et al. · 0 citations

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