BeiDou Satellite-Based Augmentation System Algorithm Optimization and Performance Validation of Ionospheric Degradation Parameters with RTCA Protocol
The BeiDou Satellite-Based Augmentation System (BDSBAS), based on the Radio Technical Commission for Aeronautics (RTCA) protocol, aims to provide high-precision, single-frequency positioning with integrity assurance for civil aviation users in China and surrounding regions. Given the anticipated hig...
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| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/7/1110 |
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| author | Zhaochen Li Yueling Cao Shanshi Zhou Xiaogong Hu Ran Liu |
| author_facet | Zhaochen Li Yueling Cao Shanshi Zhou Xiaogong Hu Ran Liu |
| author_sort | Zhaochen Li |
| collection | DOAJ |
| description | The BeiDou Satellite-Based Augmentation System (BDSBAS), based on the Radio Technical Commission for Aeronautics (RTCA) protocol, aims to provide high-precision, single-frequency positioning with integrity assurance for civil aviation users in China and surrounding regions. Given the anticipated high solar activity between 2023 and 2025, ionospheric anomalies may degrade positioning accuracy and significantly impact BDSBAS integrity performance. To enhance BDSBAS integrity, this study evaluates and analyzes the system’s ionospheric degradation parameters for 2023. The results indicate that during the active ionospheric period in 2023, the rate of ionospheric grid delay changes exceeding the limits of the currently broadcasted parameters increased by 0.86%, posing potential integrity risks compared to 2022. To address this issue, we propose a novel algorithm for ionospheric degradation parameters and assess its applicability, stability, and effectiveness using BDSBAS single-frequency service message data from IGS monitoring stations in China. Statistical analysis in the localization domain demonstrates that the new method reduces the rate of ionospheric degradation parameters exceeding the threshold by 1.10% in 2023–2024. This approach significantly enhances BDSBAS integrity service capabilities, supporting its performance improvement and official deployment. |
| format | Article |
| id | doaj-art-2ab46b20cd8a4b68ab36a4f44b671272 |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-2ab46b20cd8a4b68ab36a4f44b6712722025-08-20T02:15:54ZengMDPI AGRemote Sensing2072-42922025-03-01177111010.3390/rs17071110BeiDou Satellite-Based Augmentation System Algorithm Optimization and Performance Validation of Ionospheric Degradation Parameters with RTCA ProtocolZhaochen Li0Yueling Cao1Shanshi Zhou2Xiaogong Hu3Ran Liu4School of Physics, Northwest University, Xi’an 710127, ChinaShanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, ChinaShanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, ChinaShanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, ChinaBeijing Satellite Navigation Center, Beijing 100094, ChinaThe BeiDou Satellite-Based Augmentation System (BDSBAS), based on the Radio Technical Commission for Aeronautics (RTCA) protocol, aims to provide high-precision, single-frequency positioning with integrity assurance for civil aviation users in China and surrounding regions. Given the anticipated high solar activity between 2023 and 2025, ionospheric anomalies may degrade positioning accuracy and significantly impact BDSBAS integrity performance. To enhance BDSBAS integrity, this study evaluates and analyzes the system’s ionospheric degradation parameters for 2023. The results indicate that during the active ionospheric period in 2023, the rate of ionospheric grid delay changes exceeding the limits of the currently broadcasted parameters increased by 0.86%, posing potential integrity risks compared to 2022. To address this issue, we propose a novel algorithm for ionospheric degradation parameters and assess its applicability, stability, and effectiveness using BDSBAS single-frequency service message data from IGS monitoring stations in China. Statistical analysis in the localization domain demonstrates that the new method reduces the rate of ionospheric degradation parameters exceeding the threshold by 1.10% in 2023–2024. This approach significantly enhances BDSBAS integrity service capabilities, supporting its performance improvement and official deployment.https://www.mdpi.com/2072-4292/17/7/1110BeiDou satellite-based augmentation system (BDSBAS)integrity performancedegradation parametersservice availability |
| spellingShingle | Zhaochen Li Yueling Cao Shanshi Zhou Xiaogong Hu Ran Liu BeiDou Satellite-Based Augmentation System Algorithm Optimization and Performance Validation of Ionospheric Degradation Parameters with RTCA Protocol Remote Sensing BeiDou satellite-based augmentation system (BDSBAS) integrity performance degradation parameters service availability |
| title | BeiDou Satellite-Based Augmentation System Algorithm Optimization and Performance Validation of Ionospheric Degradation Parameters with RTCA Protocol |
| title_full | BeiDou Satellite-Based Augmentation System Algorithm Optimization and Performance Validation of Ionospheric Degradation Parameters with RTCA Protocol |
| title_fullStr | BeiDou Satellite-Based Augmentation System Algorithm Optimization and Performance Validation of Ionospheric Degradation Parameters with RTCA Protocol |
| title_full_unstemmed | BeiDou Satellite-Based Augmentation System Algorithm Optimization and Performance Validation of Ionospheric Degradation Parameters with RTCA Protocol |
| title_short | BeiDou Satellite-Based Augmentation System Algorithm Optimization and Performance Validation of Ionospheric Degradation Parameters with RTCA Protocol |
| title_sort | beidou satellite based augmentation system algorithm optimization and performance validation of ionospheric degradation parameters with rtca protocol |
| topic | BeiDou satellite-based augmentation system (BDSBAS) integrity performance degradation parameters service availability |
| url | https://www.mdpi.com/2072-4292/17/7/1110 |
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