Positional uncertainty of network RTK observations in a modern datum

The Geocentric Datum of Australia 2020 (GDA2020) is Australia’s new and much improved national datum. It is based on a single, nationwide least squares network adjustment that rigorously propagates uncertainty. This paper explores three options to include Network Real-Time Kinematic (NRTK) observati...

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Autores principales:	Bernstein T., Janssen V.
Formato:	article
Lenguaje:	EN
Publicado:	Sciendo 2021
Materias:	datum modernisation national datum network adjustment network-based positioning positional uncertainty virtual reference station Geodesy QB275-343
Acceso en línea:	https://doaj.org/article/f542005298fd47ed972d020936077a37
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spelling	oai:doaj.org-article:f542005298fd47ed972d020936077a372021-12-05T14:10:52ZPositional uncertainty of network RTK observations in a modern datum2081-994310.1515/jogs-2020-0116https://doaj.org/article/f542005298fd47ed972d020936077a372021-08-01T00:00:00Zhttps://doi.org/10.1515/jogs-2020-0116https://doaj.org/toc/2081-9943The Geocentric Datum of Australia 2020 (GDA2020) is Australia’s new and much improved national datum. It is based on a single, nationwide least squares network adjustment that rigorously propagates uncertainty. This paper explores three options to include Network Real-Time Kinematic (NRTK) observations and their Positional Uncertainty (PU) in the survey control network of New South Wales (NSW) via the GDA2020 state adjustment. In the first option, PU is empirically estimated based on a dataset of more than 1,500 observations to obtain values that can be uniformly applied to all NRTK observations. In the second option, PU is calculated for each NRTK observation, based on the coordinate quality indicators provided by the Global Navigation Satellite System (GNSS) equipment. Both options continue to treat NRTK observations as point-based position solutions, resulting in poor correlation with surrounding survey control marks. The third option overcomes this issue by utilising the automatically computed GNSS baselines between NRTK observations and their Virtual Reference Station (VRS) to create a connected network that can be adjusted like a static GNSS network. Using a typical urban NRTK survey in Sydney as an example, it is shown that this method offers a rigorous computation of PU, while maintaining the quick and easy nature of NRTK positioning.Bernstein T.Janssen V.Sciendoarticledatum modernisationnational datumnetwork adjustmentnetwork-based positioningpositional uncertaintyvirtual reference stationGeodesyQB275-343ENJournal of Geodetic Science, Vol 11, Iss 1, Pp 38-47 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	datum modernisation national datum network adjustment network-based positioning positional uncertainty virtual reference station Geodesy QB275-343
spellingShingle	datum modernisation national datum network adjustment network-based positioning positional uncertainty virtual reference station Geodesy QB275-343 Bernstein T. Janssen V. Positional uncertainty of network RTK observations in a modern datum
description	The Geocentric Datum of Australia 2020 (GDA2020) is Australia’s new and much improved national datum. It is based on a single, nationwide least squares network adjustment that rigorously propagates uncertainty. This paper explores three options to include Network Real-Time Kinematic (NRTK) observations and their Positional Uncertainty (PU) in the survey control network of New South Wales (NSW) via the GDA2020 state adjustment. In the first option, PU is empirically estimated based on a dataset of more than 1,500 observations to obtain values that can be uniformly applied to all NRTK observations. In the second option, PU is calculated for each NRTK observation, based on the coordinate quality indicators provided by the Global Navigation Satellite System (GNSS) equipment. Both options continue to treat NRTK observations as point-based position solutions, resulting in poor correlation with surrounding survey control marks. The third option overcomes this issue by utilising the automatically computed GNSS baselines between NRTK observations and their Virtual Reference Station (VRS) to create a connected network that can be adjusted like a static GNSS network. Using a typical urban NRTK survey in Sydney as an example, it is shown that this method offers a rigorous computation of PU, while maintaining the quick and easy nature of NRTK positioning.
format	article
author	Bernstein T. Janssen V.
author_facet	Bernstein T. Janssen V.
author_sort	Bernstein T.
title	Positional uncertainty of network RTK observations in a modern datum
title_short	Positional uncertainty of network RTK observations in a modern datum
title_full	Positional uncertainty of network RTK observations in a modern datum
title_fullStr	Positional uncertainty of network RTK observations in a modern datum
title_full_unstemmed	Positional uncertainty of network RTK observations in a modern datum
title_sort	positional uncertainty of network rtk observations in a modern datum
publisher	Sciendo
publishDate	2021
url	https://doaj.org/article/f542005298fd47ed972d020936077a37
work_keys_str_mv	AT bernsteint positionaluncertaintyofnetworkrtkobservationsinamoderndatum AT janssenv positionaluncertaintyofnetworkrtkobservationsinamoderndatum
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Positional uncertainty of network RTK observations in a modern datum

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