Tropospheric Second-Order Horizontal Gradient Modeling for GNSS PPP
The asymmetric delay has a considerable impact on Global Navigation Satellite Systems (GNSS) Positioning, Navigation and Timing (PNT) applications. In GNSS analyses, the impacts of the asymmetric delay are commonly compensated by using the classical methods with considering the north-south and east-...
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MDPI AG
2022-09-01
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author | Yaozong Zhou Yidong Lou Weixing Zhang Peida Wu Jingna Bai Zhenyi Zhang |
author_facet | Yaozong Zhou Yidong Lou Weixing Zhang Peida Wu Jingna Bai Zhenyi Zhang |
author_sort | Yaozong Zhou |
collection | DOAJ |
description | The asymmetric delay has a considerable impact on Global Navigation Satellite Systems (GNSS) Positioning, Navigation and Timing (PNT) applications. In GNSS analyses, the impacts of the asymmetric delay are commonly compensated by using the classical methods with considering the north-south and east-west horizontal gradients. In this paper, we have initiatively proposed an extended method where the north-south and east-west horizontal gradients as well as the second-order horizontal gradients are included to better fit the asymmetric delay. The modeling accuracy of the extended method was evaluated at globally distributed 905 GNSS stations during 40 days in 2020. Significant performance of the extended method respect to the classical method was found, where the hydrostatic and wet modeling accuracy at 4° elevation angle was improved from 5.3 and 10.6 mm to 1.6 and 4.9 mm by 70% and 54%, respectively. The GNSS Precise Point Positioning (PPP) performance using the extended method was also validated at 107 Multi-GNSS Experiment (MGEX) stations. The superior performance on the coordinate repeatability and significant effectiveness on the coordinate and Zenith Total Delay (ZTD) estimations were also found, and the maximal vertical (U) coordinate and ZTD difference biases reached 8.6 and −4.5 mm. The extended method is therefore recommended to substitute the classical methods in the GNSS analyses, especially under severe atmospheric conditions. |
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spelling | doaj.art-03e8b0955b21458d96ec9597f58c8a202023-11-23T21:39:00ZengMDPI AGRemote Sensing2072-42922022-09-011419480710.3390/rs14194807Tropospheric Second-Order Horizontal Gradient Modeling for GNSS PPPYaozong Zhou0Yidong Lou1Weixing Zhang2Peida Wu3Jingna Bai4Zhenyi Zhang5GNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaThe asymmetric delay has a considerable impact on Global Navigation Satellite Systems (GNSS) Positioning, Navigation and Timing (PNT) applications. In GNSS analyses, the impacts of the asymmetric delay are commonly compensated by using the classical methods with considering the north-south and east-west horizontal gradients. In this paper, we have initiatively proposed an extended method where the north-south and east-west horizontal gradients as well as the second-order horizontal gradients are included to better fit the asymmetric delay. The modeling accuracy of the extended method was evaluated at globally distributed 905 GNSS stations during 40 days in 2020. Significant performance of the extended method respect to the classical method was found, where the hydrostatic and wet modeling accuracy at 4° elevation angle was improved from 5.3 and 10.6 mm to 1.6 and 4.9 mm by 70% and 54%, respectively. The GNSS Precise Point Positioning (PPP) performance using the extended method was also validated at 107 Multi-GNSS Experiment (MGEX) stations. The superior performance on the coordinate repeatability and significant effectiveness on the coordinate and Zenith Total Delay (ZTD) estimations were also found, and the maximal vertical (U) coordinate and ZTD difference biases reached 8.6 and −4.5 mm. The extended method is therefore recommended to substitute the classical methods in the GNSS analyses, especially under severe atmospheric conditions.https://www.mdpi.com/2072-4292/14/19/4807asymmetric delaysecond-order horizontal gradientextended methodGNSS PPP |
spellingShingle | Yaozong Zhou Yidong Lou Weixing Zhang Peida Wu Jingna Bai Zhenyi Zhang Tropospheric Second-Order Horizontal Gradient Modeling for GNSS PPP Remote Sensing asymmetric delay second-order horizontal gradient extended method GNSS PPP |
title | Tropospheric Second-Order Horizontal Gradient Modeling for GNSS PPP |
title_full | Tropospheric Second-Order Horizontal Gradient Modeling for GNSS PPP |
title_fullStr | Tropospheric Second-Order Horizontal Gradient Modeling for GNSS PPP |
title_full_unstemmed | Tropospheric Second-Order Horizontal Gradient Modeling for GNSS PPP |
title_short | Tropospheric Second-Order Horizontal Gradient Modeling for GNSS PPP |
title_sort | tropospheric second order horizontal gradient modeling for gnss ppp |
topic | asymmetric delay second-order horizontal gradient extended method GNSS PPP |
url | https://www.mdpi.com/2072-4292/14/19/4807 |
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