Protection Level of PPP-RTK Based on Regional Slant Ionospheric Integrity Error Bounds

Tiantian Tang, Yan Xiang, Sijie Lyu, Wenxiane Yu

Abstract:	Integrity algorithm plays an important role in ensuring the accuracy and reliability of global navigation satellite systems. In this work, we propose an enhanced integrity algorithm that incorporates statistically verified ionospheric residual information to ensure the correctness of the integrity computation. Combined with statistical analysis techniques, the sensitivity of the algorithm to ionospheric phenomena is improved, which facilitates further research in this field. This algorithm is based on the existing integrity algorithm and introduces a new ionospheric residual information fusion method. Statistical tests are performed on the residual data to verify the reliability and significance, ensuring that only valid information is used in the completeness calculation. This approach of including validated ionospheric residuals enhances the ability of the algorithm to mitigate the effects of ionospheric disturbances and provides more accurate integrity measurements. Moreover, this work highlights the importance of incorporating additional and precise prior information into completeness computations to improve their accuracy. The algorithm can integrate more reliable prior information, thus improving the integrity calculation and the calculated protection level can better envelope the positioning error. In order to verify the performance of the proposed method, static positioning experiments are carried out to verify the necessity of adding more accurate prior information to integrity risk bounding.
Published in:	Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023) September 11 - 15, 2023 Hyatt Regency Denver Denver, Colorado
Pages:	598 - 607
Cite this article:	Tang, Tiantian, Xiang, Yan, Lyu, Sijie, Yu, Wenxiane, "Protection Level of PPP-RTK Based on Regional Slant Ionospheric Integrity Error Bounds," Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023), Denver, Colorado, September 2023, pp. 598-607. https://doi.org/10.33012/2023.19188
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