Multi-GNSS PPP-RTK: From large- to Small-Scale networks

Precise point positioning (PPP) and its integer ambiguity resolution-enabled variant, PPP-RTK (real-time kinematic), can benefit enormously from the integration of multiple global navigation satellite systems (GNSS). In such a multi-GNSS landscape, the positioning convergence time is expected to be...

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Main Authors: Nadarajah, Nandakumaran, Khodabandeh, Amir, Wang, K., Choudhury, Mohammad, Teunissen, Peter
Format: Journal Article
Published: MDPI Publishing 2018
Online Access:http://hdl.handle.net/20.500.11937/67634
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author Nadarajah, Nandakumaran
Khodabandeh, Amir
Wang, K.
Choudhury, Mohammad
Teunissen, Peter
author_facet Nadarajah, Nandakumaran
Khodabandeh, Amir
Wang, K.
Choudhury, Mohammad
Teunissen, Peter
author_sort Nadarajah, Nandakumaran
building Curtin Institutional Repository
collection Online Access
description Precise point positioning (PPP) and its integer ambiguity resolution-enabled variant, PPP-RTK (real-time kinematic), can benefit enormously from the integration of multiple global navigation satellite systems (GNSS). In such a multi-GNSS landscape, the positioning convergence time is expected to be reduced considerably as compared to the one obtained by a single-GNSS setup. It is therefore the goal of the present contribution to provide numerical insights into the role taken by the multi-GNSS integration in delivering fast and high-precision positioning solutions (sub-decimeter and centimeter levels) using PPP-RTK. To that end, we employ the Curtin PPP-RTK platform and process data-sets of GPS, BeiDou Navigation Satellite System (BDS) and Galileo in stand-alone and combined forms. The data-sets are collected by various receiver types, ranging from high-end multi-frequency geodetic receivers to low-cost single-frequency mass-market receivers. The corresponding stations form a large-scale (Australia-wide) network as well as a small-scale network with inter-station distances less than 30 km. In case of the Australia-wide GPS-only ambiguity-float setup, 90% of the horizontal positioning errors (kinematic mode) are shown to become less than five centimeters after 103 min. The stated required time is reduced to 66 min for the corresponding GPS + BDS + Galieo setup. The time is further reduced to 15 min by applying single-receiver ambiguity resolution. The outcomes are supported by the positioning results of the small-scale network.
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institution Curtin University Malaysia
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spelling curtin-20.500.11937-676342018-07-13T03:16:58Z Multi-GNSS PPP-RTK: From large- to Small-Scale networks Nadarajah, Nandakumaran Khodabandeh, Amir Wang, K. Choudhury, Mohammad Teunissen, Peter Precise point positioning (PPP) and its integer ambiguity resolution-enabled variant, PPP-RTK (real-time kinematic), can benefit enormously from the integration of multiple global navigation satellite systems (GNSS). In such a multi-GNSS landscape, the positioning convergence time is expected to be reduced considerably as compared to the one obtained by a single-GNSS setup. It is therefore the goal of the present contribution to provide numerical insights into the role taken by the multi-GNSS integration in delivering fast and high-precision positioning solutions (sub-decimeter and centimeter levels) using PPP-RTK. To that end, we employ the Curtin PPP-RTK platform and process data-sets of GPS, BeiDou Navigation Satellite System (BDS) and Galileo in stand-alone and combined forms. The data-sets are collected by various receiver types, ranging from high-end multi-frequency geodetic receivers to low-cost single-frequency mass-market receivers. The corresponding stations form a large-scale (Australia-wide) network as well as a small-scale network with inter-station distances less than 30 km. In case of the Australia-wide GPS-only ambiguity-float setup, 90% of the horizontal positioning errors (kinematic mode) are shown to become less than five centimeters after 103 min. The stated required time is reduced to 66 min for the corresponding GPS + BDS + Galieo setup. The time is further reduced to 15 min by applying single-receiver ambiguity resolution. The outcomes are supported by the positioning results of the small-scale network. 2018 Journal Article http://hdl.handle.net/20.500.11937/67634 10.3390/s18041078 http://creativecommons.org/licenses/by/4.0/ MDPI Publishing fulltext
spellingShingle Nadarajah, Nandakumaran
Khodabandeh, Amir
Wang, K.
Choudhury, Mohammad
Teunissen, Peter
Multi-GNSS PPP-RTK: From large- to Small-Scale networks
title Multi-GNSS PPP-RTK: From large- to Small-Scale networks
title_full Multi-GNSS PPP-RTK: From large- to Small-Scale networks
title_fullStr Multi-GNSS PPP-RTK: From large- to Small-Scale networks
title_full_unstemmed Multi-GNSS PPP-RTK: From large- to Small-Scale networks
title_short Multi-GNSS PPP-RTK: From large- to Small-Scale networks
title_sort multi-gnss ppp-rtk: from large- to small-scale networks
url http://hdl.handle.net/20.500.11937/67634