Accuracy and precision of network-based RTK techniques as a function of baseline distance and occupation time

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dc.contributor.authorOgutcu, Sermet
dc.contributor.authorKalayci, Ibrahim
dc.date.accessioned2024-02-23T13:59:56Z
dc.date.available2024-02-23T13:59:56Z
dc.date.issued2018
dc.departmentNEÜen_US
dc.description.abstractTurkey established the TUSAGA-AKTIF CORS Network in May 2009. Network software and central server were updated in 2016. With this update, GLONASS message type was determined for Flachen Korrektur Parameter (FKP), Master Auxiliary Concept (MAC) and Virtual Reference Station (VRS) network-based real time kinematic (NRTK) techniques. A 64 bit central server and the Trimble Pivot Platform network software were also acquired with this update. To the best of our knowledge, there has not been a comprehensive accuracy and precision test of the new system yet. In this paper, we aimed to create empirical accuracy and precision model of FKP, MAC and VRS NRTK techniques of the updated system as a function of baseline distance and occupation time. It is intended that surveyors can perform mission planning according to the requirements of accuracy and precision using these models. Seven test points and two check points were chosen to conduct the experiment. The baseline lengths with respect to the closest continuously operating reference stations (CORS) station were determined as 5-20-40-50 km approximately. Three thousand epochs with 2-s sampling interval were obtained for northing, easting and ellipsoidal height coordinate components of NRTK techniques at each point. Assumed true coordinates of each test point were determined by static survey using the GAMIT/GLOBK scientific software. In terms of accuracy and precision, our results show that empirical accuracy model depends only on the occupation time while empirical precision model depends on both the baseline length with respect to the closest CORS station and the occupation time for each NRTK technique. The results indicate that estimated accuracy and precision models can be safely used for mission planning purposes.en_US
dc.description.sponsorshipScientific Research Development Department of Necmettin Erbakan University [161419003]en_US
dc.description.sponsorshipThis work is supported by the Scientific Research Development Department of Necmettin Erbakan University under Grant number 161419003. The authors are grateful to MIT for providing the licence of the GAMIT/GLOBK software.en_US
dc.identifier.doi10.1007/s12517-018-3712-2
dc.identifier.issn1866-7511
dc.identifier.issn1866-7538
dc.identifier.issue13en_US
dc.identifier.scopus2-s2.0-85049488115en_US
dc.identifier.urihttps://doi.org/10.1007/s12517-018-3712-2
dc.identifier.urihttps://hdl.handle.net/20.500.12452/11378
dc.identifier.volume11en_US
dc.identifier.wosWOS:000437353000003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofArabian Journal Of Geosciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAccuracyen_US
dc.subjectFkpen_US
dc.subjectMacen_US
dc.subjectPrecisionen_US
dc.subjectVrsen_US
dc.titleAccuracy and precision of network-based RTK techniques as a function of baseline distance and occupation timeen_US
dc.typeArticleen_US

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