Performance investigation of Trimble RTX correction service with multi-GNSS constellation

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dc.contributor.authorAtiz, Omer Faruk
dc.contributor.authorShakor, Abbas Qader
dc.contributor.authorOgutcu, Sermet
dc.contributor.authorAlcay, Salih
dc.date.accessioned2024-02-23T14:17:12Z
dc.date.available2024-02-23T14:17:12Z
dc.date.issued2023
dc.departmentNEÜen_US
dc.description.abstractIn the middle of 2011, Trimble introduced the RTX correction service to support RT-PPP applications. In this study, the performance of Trimble RTX correction service is investigated over a one-month period using five different GNSS constellations - namely, GPS-only, GPS + GLONASS, GPS + Galileo, GPS + GLONASS + Galileo, and GPS + GLONASS + Galileo + BeiDou. The results show that positioning accuracy and convergence time are significantly improved with the use of the multi-GNSS constellation compared with the GPS-only solution. The result of the converged positioning accuracy indicates that the GPS + GLONASS + Galileo + BeiDou combination improves the accuracy by 63%, 54%, and 60% for north, east, and up components, respectively, compared with the GPS-only solution. The mean convergence time is reduced by the GPS + GLONASS+ Galileo + BeiDou combination by 70%, 71%, and 38.6% compared with the GPS-only solution in the north, east, and up components, respectively. 1.2 (north), 1.5 (east), and 2.3 cm (up) root mean square errors (RMSEs) of converged positioning from the GPS + GLONASS + Galileo + BeiDou combination are computed.en_US
dc.description.sponsorshipScientific Research Projects of Necmettin Erbakan University [201219010]en_US
dc.description.sponsorshipThe authors thank the CHC technique for providing the GNSS receivers for this experiment. The authors also thank Ufuk R. Ozbey at CHC technique for their support during this study. The authors would like to express their gratitude to the Massachusetts Institute of Technology (MIT) for providing the GAMIT/GLOBK scientific software. The authors gratefully acknowledge the financial support provided by Scientific Research Projects of Necmettin Erbakan University (project no. 201219010).en_US
dc.identifier.doi10.1080/00396265.2021.1999128
dc.identifier.endpage54en_US
dc.identifier.issn0039-6265
dc.identifier.issn1752-2706
dc.identifier.issue388en_US
dc.identifier.scopus2-s2.0-85119285008en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage44en_US
dc.identifier.urihttps://doi.org/10.1080/00396265.2021.1999128
dc.identifier.urihttps://hdl.handle.net/20.500.12452/12985
dc.identifier.volume55en_US
dc.identifier.wosWOS:000717867900001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofSurvey Reviewen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBeidouen_US
dc.subjectGpsen_US
dc.subjectGlonassen_US
dc.subjectGalileoen_US
dc.subjectPppen_US
dc.subjectTrimble Rtxen_US
dc.titlePerformance investigation of Trimble RTX correction service with multi-GNSS constellationen_US
dc.typeArticleen_US

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