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.· Space Weather· 0 citations
Global Navigation Satellite System Interferometric Reflectometry (GNSS-IR) has emerged as an effective noncontact technique for monitoring snow depth, a critical indicator of global climate change. However, heterogeneous topography and inconsistent surface reflectivity introduce spatial variability into reflected signa...
Wen-Qi Liu, Kai Liu, Zhao Li et al.· IEEE Transactions on Geoscie...· 0 citations
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.· Measurement science and tech...· 0 citations
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