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Improving DGNSS Performance through the Use of Network RTK Corrections

by 1,2, 3, 1,2,*, 2 and 4
Shenzhen Research Institute, The Hong Kong Polytechnic University, Shenzhen 518063, China
Department of Land Surveying and Geo-Informatics, Hong Kong Polytechnic University, Hong Kong, China
College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China
College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Author to whom correspondence should be addressed.
Academic Editor: Xiaolin Meng
Received: 24 March 2021 / Revised: 15 April 2021 / Accepted: 19 April 2021 / Published: 21 April 2021
The differential global navigation satellite system (DGNSS) is an enhancement system that is widely used to improve the accuracy of single-frequency receivers. However, distance-dependent 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. Distance-dependent 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. View Full-Text
Keywords: DGNSS; network RTK; accuracy; distance-dependent errors DGNSS; network RTK; accuracy; distance-dependent errors
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MDPI and ACS Style

Weng, D.; Ji, S.; Lu, Y.; Chen, W.; Li, Z. Improving DGNSS Performance through the Use of Network RTK Corrections. Remote Sens. 2021, 13, 1621.

AMA Style

Weng D, Ji S, Lu Y, Chen W, Li Z. Improving DGNSS Performance through the Use of Network RTK Corrections. Remote Sensing. 2021; 13(9):1621.

Chicago/Turabian Style

Weng, Duojie, Shengyue Ji, Yangwei Lu, Wu Chen, and Zhihua Li. 2021. "Improving DGNSS Performance through the Use of Network RTK Corrections" Remote Sensing 13, no. 9: 1621.

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