Modified Interpolation Method of Multi-Reference Station Tropospheric Delay Considering the Influence of Height Difference
In network real-time kinematic (NRTK) positioning, atmospheric delay information is critical for generating virtual observations at a virtual reference station (VRS). The traditional linear interpolation method (LIM) is widely used to obtain the atmospheric delay correction. However, even though the...
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| Format: | Article |
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MDPI AG
2021-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/15/2994 |
| _version_ | 1827686381972881408 |
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| author | Yakun Pu Min Song Yunbin Yuan |
| author_facet | Yakun Pu Min Song Yunbin Yuan |
| author_sort | Yakun Pu |
| collection | DOAJ |
| description | In network real-time kinematic (NRTK) positioning, atmospheric delay information is critical for generating virtual observations at a virtual reference station (VRS). The traditional linear interpolation method (LIM) is widely used to obtain the atmospheric delay correction. However, even though the conventional LIM is robust in the horizontal direction of the atmospheric error, it ignores the influence of the vertical direction, especially for the tropospheric error. If the height difference between the reference stations and the rover is large and, subsequently, tropospheric error and height are strongly correlated, the performance of the traditional method is degraded for tropospheric delay interpolation at the VRS. Therefore, considering the height difference between the reference stations and the rover, a modified linear interpolation method (MLIM) is proposed to be applied to a conventional single Delaunay triangulated network (DTN). The systematic error of the double-differenced (DD) tropospheric delay in the vertical direction is corrected first. The LIM method is then applied to interpolate the DD tropospheric delay at the VRS. In order to verify the performance of the proposed method, we used two datasets from the American NOAA continuously operating reference stations (CORS) network with significant height differences for experiments and analysis. Results show that the DD tropospheric delay interpolation accuracy obtained by the modified method is improved by 84.1% and 69.6% on average in the two experiments compared to the conventional method. This improvement is significant, especially for low elevation satellites. In rover positioning analysis, the traditional LIM has a noticeable systematic deviation in the up component. Compared to the conventional method, the positioning accuracy of the MLIM method is improved in the horizontal and vertical directions, especially in the up component. The accuracy of the up component is reduced from tens of centimeters to a few centimeters and demonstrates better positioning stability. |
| first_indexed | 2024-03-10T09:09:25Z |
| format | Article |
| id | doaj.art-b17d96568f7f4439891c911733246134 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T09:09:25Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-b17d96568f7f4439891c9117332461342023-11-22T06:07:17ZengMDPI AGRemote Sensing2072-42922021-07-011315299410.3390/rs13152994Modified Interpolation Method of Multi-Reference Station Tropospheric Delay Considering the Influence of Height DifferenceYakun Pu0Min Song1Yunbin Yuan2State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, ChinaState Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, ChinaState Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, ChinaIn network real-time kinematic (NRTK) positioning, atmospheric delay information is critical for generating virtual observations at a virtual reference station (VRS). The traditional linear interpolation method (LIM) is widely used to obtain the atmospheric delay correction. However, even though the conventional LIM is robust in the horizontal direction of the atmospheric error, it ignores the influence of the vertical direction, especially for the tropospheric error. If the height difference between the reference stations and the rover is large and, subsequently, tropospheric error and height are strongly correlated, the performance of the traditional method is degraded for tropospheric delay interpolation at the VRS. Therefore, considering the height difference between the reference stations and the rover, a modified linear interpolation method (MLIM) is proposed to be applied to a conventional single Delaunay triangulated network (DTN). The systematic error of the double-differenced (DD) tropospheric delay in the vertical direction is corrected first. The LIM method is then applied to interpolate the DD tropospheric delay at the VRS. In order to verify the performance of the proposed method, we used two datasets from the American NOAA continuously operating reference stations (CORS) network with significant height differences for experiments and analysis. Results show that the DD tropospheric delay interpolation accuracy obtained by the modified method is improved by 84.1% and 69.6% on average in the two experiments compared to the conventional method. This improvement is significant, especially for low elevation satellites. In rover positioning analysis, the traditional LIM has a noticeable systematic deviation in the up component. Compared to the conventional method, the positioning accuracy of the MLIM method is improved in the horizontal and vertical directions, especially in the up component. The accuracy of the up component is reduced from tens of centimeters to a few centimeters and demonstrates better positioning stability.https://www.mdpi.com/2072-4292/13/15/2994GPSNRTKVRStropospheric delayinterpolation |
| spellingShingle | Yakun Pu Min Song Yunbin Yuan Modified Interpolation Method of Multi-Reference Station Tropospheric Delay Considering the Influence of Height Difference Remote Sensing GPS NRTK VRS tropospheric delay interpolation |
| title | Modified Interpolation Method of Multi-Reference Station Tropospheric Delay Considering the Influence of Height Difference |
| title_full | Modified Interpolation Method of Multi-Reference Station Tropospheric Delay Considering the Influence of Height Difference |
| title_fullStr | Modified Interpolation Method of Multi-Reference Station Tropospheric Delay Considering the Influence of Height Difference |
| title_full_unstemmed | Modified Interpolation Method of Multi-Reference Station Tropospheric Delay Considering the Influence of Height Difference |
| title_short | Modified Interpolation Method of Multi-Reference Station Tropospheric Delay Considering the Influence of Height Difference |
| title_sort | modified interpolation method of multi reference station tropospheric delay considering the influence of height difference |
| topic | GPS NRTK VRS tropospheric delay interpolation |
| url | https://www.mdpi.com/2072-4292/13/15/2994 |
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