Exploring the Advantages of Multi-GNSS Ionosphere-Weighted Single-Frequency Precise Point Positioning in Regional Ionospheric VTEC Modeling
Although the traditional Carrier-to-Code Leveling (CCL) method can provide ideal slant total electron content (STEC) observables for establishing ionospheric models, it must rely on dual-frequency (DF) receivers, which results in high hardware costs. In this study, an ionosphere-weight (IW) single-frequency (SF) precise point positioning (PPP) method for extracting STEC observables is proposed, and multi-global navigation satellite system (GNSS)-integrated processing is adopted to improve the spatial resolution of the ionospheric model. To investigate the advantages of this novel method, 41 European stations are used to establish the regional ionospheric model, and both low- and high-solar-activity conditions are considered. The results show that the IW SFPPP-derived regional ionospheric model has a significantly better quality of vertical total electron content (VTEC) than the CCL method when using the final global ionospheric map (GIM) as a reference, especially in areas with sparse monitoring stations. Compared with the CCL method, the RMS VTEC accuracy of the IW SFPPP method can be improved by 17.4% and 12.7% to 1.09 and 2.83 total electron content unit (TECU) in low- and high-solar-activity periods, respectively. Regarding GNSS carrier-phase-derived STEC variation (dSTEC) as the reference, the dSTEC accuracy of the IW SFPPP method is comparable to that of the CCL method, and its RMS values are about 1.5 and 2.8 TECU in low- and high-solar-activity conditions, respectively. This indicates that the proposed method using SF-only observations can achieve the same external accord accuracy as the CCL method in regional ionospheric modeling.
Authors
- Xuexi Liu (ORCID: https://orcid.org/0000-0002-2873-807X)
- Ahao Wang (ORCID: https://orcid.org/0000-0003-4440-1263)
- Yize Zhang (ORCID: https://orcid.org/0000-0002-9117-8087)
- Junping Chen (ORCID: https://orcid.org/0000-0003-2899-7677)
- Yuyan Yan
- Hu Wang (ORCID: https://orcid.org/0000-0002-6416-3875)
- Jing Li (ORCID: https://orcid.org/0000-0002-3625-3339)
- Yihang Xu
Institutions
- China University of Mining and Technology (CN)
- Shanghai Astronomical Observatory (CN)
- Chinese Academy of Surveying and Mapping (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-03-20
- DOI
- https://doi.org/10.3390/rs17061104
- Citations
- 1
- Primary Topic
- GNSS positioning and interference
- Type
- article
- Field-Weighted Citation Impact
- 4.99
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Fundamental Research Funds for the Central Universities
- Program of Shanghai Academic Research Leader