中文标题：Mitigating ionospheric disturbances impacts on NRTK positioning: an optimization method for adaptive functional and stochastic models

英文标题：Mitigating ionospheric disturbances impacts on NRTK positioning: an optimization method for adaptive functional and stochastic models

来源期刊：SpringerOpen

基金项目：This work was funded by the National Science Fund for Distinguished Young Scholars of China (Grant No. 42425003), the National Natural Science Foundation of China (Grant No. 42388102, No. 42230104) and the Fundamental Research Funds for the Central Universities (No. 2042025kf0026).

作  者：Jinsheng Zhang, Xiaodong Ren, Yuhang Yang, Ahmed Mohamed Elsayed Abdelaziz, Xiaohong Zhang, Guofu Pan and Ke Jiang

作者单位：School of Geodesy and Geomatics, Wuhan University, Wuhan, 430079, Hubei, China(Jinsheng Zhang,Xiaodong Ren,Yuhang Yang,Ahmed Mohamed Elsayed Abdelaziz&Xiaohong Zhang)
Guangzhou Hi-Target Navigation Tech Co. Ltd., Guangzhou, 511400, Guangdong, China(Jinsheng Zhang,Guofu Pan&Ke Jiang)
Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, 430079, Hubei, China(Xiaohong Zhang)

摘  要：Currently, solar activity has entered the peak year of its 25th cycle, which is significantly and critically impacting the positioning accuracy and reliability of the Global Navigation Satellite System (GNSS). Intense ionospheric scintillation and fluctuations in Total Electron Content (TEC) can lead to substantial errors in GNSS observations, particularly in low-latitude regions. To address this issue, this study proposed an improved Network Real-Time Kinematic (NRTK) positioning method tailored for complex ionospheric environments. By leveraging the warning information of ionospheric disturbances from the server-end, the proposed method enhances both the accuracy and availability of NRTK positioning with ionospheric residual estimation and adaptive stochastic model at the user-end. Using the data at Hong Kong regional Continuously Operating Reference Station (CORS) from September 2024, we demonstrated that during the high solar activity year, the ionospheric disturbances index Rate Of TEC Index (ROTI) exhibited a strong positive correlation (correlation coefficient: 0.91) with ionospheric interpolation errors on the server-end and a negative correlation (correlation coefficient: − 0.9) with fixing rate on the user-end. Compared to the conventional NRTK method, our approach significantly improves the rover positioning performance. The average fixing rate is increased from 58 to 84%, while the positioning accuracy is improved by 37.6% and 41.6% for the horizontal and vertical components, respectively.

全文链接： https://satellite-navigation.springeropen.com/articles/10.1186/s43020-025-00179-4