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Lookup NU author(s): Chen YuORCiD, Dr Nigel Penna, Professor Zhenhong Li
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Real-time centimetre-level precise positioning from Global Navigation Satellite Systems (GNSS) is critical for activities including landslide, glacier and coastal erosion monitoring, flood modelling, precision agriculture, intelligent transport systems, autonomous vehicles and the Internet of Things. This may be achieved via the real-time kinematic (RTK) GNSS approach, which uses a single receiver and a network of continuously operating GNSS reference stations (CORS). However, existing CORS networks have often been established simply by attempting regular spacing or in clusters around cities, with little consideration of weather, climate and topography effects, which influence the GNSS tropospheric delay, a substantial GNSS positional error and which prevents homogeneous RTK accuracy attainment. Here, we develop a framework towards optimizing the design of CORS ground infrastructure, such that tropospheric delay errors reduce to 1.5 mm worth of precipitable water vapour (PWV) globally. We obtain average optimal station spacings of 52 km in local summer and 70 km in local winter, inversely related to the atmospheric PWV variation, with denser networks typically required in the tropics and in mountainous areas. We also consider local CORS network infrastructure case studies, showing how after network modification interpolated PWV errors can be reduced from around 2.7 to 1.4 mm.
Author(s): Yu C, Penna NT, Li Z
Publication type: Article
Publication status: Published
Journal: Proceedings of the Royal Society A
Year: 2020
Volume: 476
Issue: 2242
Print publication date: 28/10/2020
Online publication date: 14/10/2020
Acceptance date: 15/09/2020
Date deposited: 21/10/2020
ISSN (print): 1364-5021
ISSN (electronic): 1471-2946
Publisher: The Royal Society Publishing
URL: https://doi.org/10.1098/rspa.2020.0248
DOI: 10.1098/rspa.2020.0248
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