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      Precise GNSS Positioning Using Smart Devices

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          Abstract

          The recent access to GNSS (Global Navigation Satellite System) phase observations on smart devices, enabled by Google through its Android operating system, opens the possibility to apply precise positioning techniques using off-the-shelf, mass-market devices. The target of this work is to evaluate whether this is feasible, and which positioning accuracy can be achieved by relative positioning of the smart device with respect to a base station. Positioning of a Google/HTC Nexus 9 tablet was performed by means of batch least-squares adjustment of L1 phase double-differenced observations, using the open source goGPS software, over baselines ranging from approximately 10 m to 8 km, with respect to both physical (geodetic or low-cost) and virtual base stations. The same positioning procedure was applied also to a co-located u-blox low-cost receiver, to compare the performance between the receiver and antenna embedded in the Nexus 9 and a standard low-cost single-frequency receiver with external patch antenna. The results demonstrate that with a smart device providing raw GNSS phase observations, like the Nexus 9, it is possible to reach decimeter-level accuracy through rapid-static surveys, without phase ambiguity resolution. It is expected that sub-centimeter accuracy could be achieved, as demonstrated for the u-blox case, if integer phase ambiguities were correctly resolved.

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          Most cited references23

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          Performance of low-cost GNSS receiver for landslides monitoring: test and results

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            Atmospheric correction for the troposphere and stratosphere in radio ranging satellites

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              Public participation in GIS via mobile applications

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                24 October 2017
                October 2017
                : 17
                : 10
                : 2434
                Affiliations
                Geomatics Research & Development s.r.l. (GReD), via Cavour 2, c/o ComoNExT, 22074 Lomazzo (Como), Italy; stefano.caldera@ 123456g-red.eu (S.C.); lisa.pertusini@ 123456g-red.eu (L.P.); daniele.sampietro@ 123456g-red.eu (D.S.)
                Author notes
                [* ]Correspondence: eugenio.realini@ 123456g-red.eu ; Tel.: +39-02-36714448
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-4119-6989
                https://orcid.org/0000-0001-9747-8497
                Article
                sensors-17-02434
                10.3390/s17102434
                5677087
                29064417
                75ac2fe8-57c3-40fd-9c77-dadf92a60a50
                © 2017 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 ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 24 August 2017
                : 20 October 2017
                Categories
                Article

                Biomedical engineering
                gnss,smart devices,precise positioning
                Biomedical engineering
                gnss, smart devices, precise positioning

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