A Method to Mitigate the Effects of Strong Geomagnetic Storm on GNSS Precise Point Positioning
Abstract Geomagnetic storm can affect the performance of Global Navigation Satellite System (GNSS) precise positioning services. To mitigate the adverse effects of strong geomagnetic storms, we propose to establish the geometry‐free (GF) cycle slip threshold model based on ionospheric disturbance in...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Space Weather |
| Online Access: | https://doi.org/10.1029/2021SW002908 |
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| _version_ | 1841536376003100672 |
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| author | Xiaomin Luo Junfeng Du Yidong Lou Shengfeng Gu Xinan Yue Jingbin Liu Biyan Chen |
| author_facet | Xiaomin Luo Junfeng Du Yidong Lou Shengfeng Gu Xinan Yue Jingbin Liu Biyan Chen |
| author_sort | Xiaomin Luo |
| collection | DOAJ |
| description | Abstract Geomagnetic storm can affect the performance of Global Navigation Satellite System (GNSS) precise positioning services. To mitigate the adverse effects of strong geomagnetic storms, we propose to establish the geometry‐free (GF) cycle slip threshold model based on ionospheric disturbance index rate of total electron content index to reduce the false detection rate of cycle slip in GNSS precise point positioning (PPP) during strong storm periods, thus improving the accuracy and reliability of GNSS PPP. The performance of our proposed model is validated by using 171 International GNSS Service (IGS) tracking stations data on 8 September 2017. The analysis indicates that compared with conventional PPP scheme, the proposed model can improve the positioning accuracy by approximately 14.0% (36.8%) and 23.1% (51.5%) in the horizonal and vertical components for global (high latitudes) stations. Furthermore, the availability of our proposed model is also validated by PPP experiments using 379 IGS tracking stations data during another strong storm occurred on 26 August 2018. |
| format | Article |
| id | doaj-art-f3792894b4d545e0a3fa0aa877f3321e |
| institution | Kabale University |
| issn | 1542-7390 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Space Weather |
| spelling | doaj-art-f3792894b4d545e0a3fa0aa877f3321e2025-01-14T16:35:20ZengWileySpace Weather1542-73902022-01-01201n/an/a10.1029/2021SW002908A Method to Mitigate the Effects of Strong Geomagnetic Storm on GNSS Precise Point PositioningXiaomin Luo0Junfeng Du1Yidong Lou2Shengfeng Gu3Xinan Yue4Jingbin Liu5Biyan Chen6School of Geography and Information Engineering China University of Geosciences Wuhan ChinaSchool of Geography and Information Engineering China University of Geosciences Wuhan ChinaGNSS Research Center Wuhan University Wuhan ChinaGNSS Research Center Wuhan University Wuhan ChinaKey Laboratory of Earth and Planetary Physics Institute of Geology and Geophysics Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing Wuhan University Wuhan ChinaSchool of Geosciences and Info‐Physics Central South University Changsha ChinaAbstract Geomagnetic storm can affect the performance of Global Navigation Satellite System (GNSS) precise positioning services. To mitigate the adverse effects of strong geomagnetic storms, we propose to establish the geometry‐free (GF) cycle slip threshold model based on ionospheric disturbance index rate of total electron content index to reduce the false detection rate of cycle slip in GNSS precise point positioning (PPP) during strong storm periods, thus improving the accuracy and reliability of GNSS PPP. The performance of our proposed model is validated by using 171 International GNSS Service (IGS) tracking stations data on 8 September 2017. The analysis indicates that compared with conventional PPP scheme, the proposed model can improve the positioning accuracy by approximately 14.0% (36.8%) and 23.1% (51.5%) in the horizonal and vertical components for global (high latitudes) stations. Furthermore, the availability of our proposed model is also validated by PPP experiments using 379 IGS tracking stations data during another strong storm occurred on 26 August 2018.https://doi.org/10.1029/2021SW002908 |
| spellingShingle | Xiaomin Luo Junfeng Du Yidong Lou Shengfeng Gu Xinan Yue Jingbin Liu Biyan Chen A Method to Mitigate the Effects of Strong Geomagnetic Storm on GNSS Precise Point Positioning Space Weather |
| title | A Method to Mitigate the Effects of Strong Geomagnetic Storm on GNSS Precise Point Positioning |
| title_full | A Method to Mitigate the Effects of Strong Geomagnetic Storm on GNSS Precise Point Positioning |
| title_fullStr | A Method to Mitigate the Effects of Strong Geomagnetic Storm on GNSS Precise Point Positioning |
| title_full_unstemmed | A Method to Mitigate the Effects of Strong Geomagnetic Storm on GNSS Precise Point Positioning |
| title_short | A Method to Mitigate the Effects of Strong Geomagnetic Storm on GNSS Precise Point Positioning |
| title_sort | method to mitigate the effects of strong geomagnetic storm on gnss precise point positioning |
| url | https://doi.org/10.1029/2021SW002908 |
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