Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91287
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Title: Improving DGNSS performance through the use of network RTK corrections
Authors: Weng, D 
Ji, S
Lu, Y 
Chen, W 
Li, Z
Issue Date: May-2021
Source: Remote sensing, May 2021, v. 13, no. 9, 1621
Abstract: The differential global navigation satellite system (DGNSS) is an enhancement system that is widely used to improve the accuracy of single-frequency receivers. However, distancedependent errors are not considered in conventional DGNSS, and DGNSS accuracy decreases when baseline length increases. In network real-time kinematic (RTK) positioning, distance-dependent errors are accurately modelled to enable ambiguity resolution on the user side, and standard Radio Technical Commission for Maritime Services (RTCM) formats have also been developed to describe the spatial characteristics of distance-dependent errors. However, the network RTK service was mainly developed for carrier-phase measurements on professional user receivers. The purpose of this study was to modify the local-area DGNSS through the use of network RTK corrections. Distancedependent errors can be reduced, and accuracy for a longer baseline length can be improved. The results in the low-latitude areas showed that the accuracy of the modified DGNSS could be improved by more than 50% for a 17.9 km baseline during solar active years. The method in this paper extends the use of available network RTK corrections with high accuracy to normal local-area DGNSS applications.
Keywords: Accuracy
DGNSS
Distance-dependent errors
Network RTK
Publisher: Molecular Diversity Preservation International (MDPI)
Journal: Remote sensing 
EISSN: 2072-4292
DOI: 10.3390/rs13091621
Rights: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Weng, D.; Ji, S.; Lu, Y.; Chen,W.; Li, Z. Improving DGNSSPerformance through the Use of Network RTK Corrections. Remote Sens. 2021, 13, 1621 is available at https://doi.org/10.3390/rs13091621
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