ZHANG Qidong, LI Rui, WANG Zhipeng. An Improved Ionospheric Spatial Threat Model for SBAS[J]. Chinese Journal of Electronics, 2017, 26(5): 1105-1110. doi: 10.1049/cje.2017.07.002
Citation: ZHANG Qidong, LI Rui, WANG Zhipeng. An Improved Ionospheric Spatial Threat Model for SBAS[J]. Chinese Journal of Electronics, 2017, 26(5): 1105-1110. doi: 10.1049/cje.2017.07.002

An Improved Ionospheric Spatial Threat Model for SBAS

doi: 10.1049/cje.2017.07.002
Funds:  This work is supported by the National Natural Science Foundation of China (No.61501010, No.U1433114, No.61501014, No.61521091), and Aeronautics Science Foundation (No.2015ZC51035).
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  • Corresponding author: WANG Zhipeng (corresponding author) received the Ph.D. degree in traffic information engineering from Beihang University, Beijing, China. Now he is a lecturer of Electronic and Information Engineer School in Beihang University. His main interests include the combination algorithms of Ground based augmentation system (GBAS) and Satellitebased augmentation system (SBAS), also Advanced receiver autonomous integrity monitoring (ARAIM). (Email:wangzhipeng@buaa.edu.cn)
  • Received Date: 2015-12-23
  • Rev Recd Date: 2017-02-03
  • Publish Date: 2017-09-10
  • A conservative Grid ionospheric vertical delay error (GIVE) estimation would lead to conservative Protection levels (PLs) estimation and affects Satellitebased augmentation systems (SBAS) service performance. To reduce the margin in GIVE estimation, an improved spatial threat model is presented. A new parameter of Minimum separation distance (MSD) is introduced. The new model is described with the MSD, Relative centroid metric (RCM) and fit radius as inputs. Ionospheric delay measurements during storms are used to construct the new spatial threat model. Simulation results show that, with the new model, there is at least 9.5% reduction in User ionospheric vertical delay errors (UIVEs), while the user ionospheric delay estimation errors can be bounded at the same time. Even on severe ionosphere disturbed days, at least 5% improvement of PLs (95%) could be achieved for more than 20% Conterminous united states (CONUS) area, leading to higher system service performance.
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