Simulation case study of displacement monitoring using network derived positioning

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dc.contributor.authorOgutcu, Sermet
dc.date.accessioned2024-02-23T14:20:43Z
dc.date.available2024-02-23T14:20:43Z
dc.date.issued2020
dc.departmentNEÜen_US
dc.description.abstractNetwork-based real-time kinematic (NRTK) GNSS (Global Navigation Satellite System) is among the most commonly used surveying technique in many countries for various applications that requires a single GNSS receiver. The main principle of this system is to generate reliable error models that can mitigate dispersive (e.g. ionospheric delay) and non-dispersive (e.g. tropospheric delay and orbit bias) errors, which are the main sources of the degradation of positioning accuracy. In this study, the performance of NRTK positioning for deformation and landslide monitoring is investigated using a simulation apparatus. For this purpose, 20 simulated two-dimensional and vertical displacements are conducted within a two-month period in 2019. The 24-h NRTK data with 1-s sampling intervals are obtained using a CHC N72 GNSS reference receiver for each displacement. The 24-h NRTK data are mutually subdivided into 12-, 6-, 3- and 1-h non-overlapping sessions to investigate the effect of observation time on monitoring displacement performance. Two filtering methods - namely, averaging the raw observations and averaging the observations derived from Kalman filtering - are chosen for each session. The displacements obtained from the filtered NRTK observations are compared to the simulated (true) displacements. Another experiment is carried out to monitor the displacement in real time using first-order low-pass and moving-average filters. The NRTK data are collected during the displacement for a real-time experiment. The results of the experiments indicate that 1-sigma horizontal and vertical Root Mean Square errors (RMSEs) of displacements between the filtered NRTK data and true displacements are determined to be 1.5 and 5.4 mm, respectively, using 24-h data. The results also suggest that no significant difference is observed between the filtering methods for most of the points. The RMSE of the two-dimensional displacement direction between the azimuth angle derived from the filtered NRTK data and the azimuth angle of true direction is found to be 15 degrees for 3 mm displacement using 24-h data. For detecting the displacements visually in real time, the minimum magnitude of displacements needs to be 7 mm and 10 mm for the horizontal and vertical components, respectively, to distinguish the displacements from the noise.en_US
dc.identifier.doi10.1080/19475705.2020.1772382
dc.identifier.endpage1051en_US
dc.identifier.issn1947-5705
dc.identifier.issn1947-5713
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85086638488en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1031en_US
dc.identifier.urihttps://doi.org/10.1080/19475705.2020.1772382
dc.identifier.urihttps://hdl.handle.net/20.500.12452/13272
dc.identifier.volume11en_US
dc.identifier.wosWOS:000539095600001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofGeomatics Natural Hazards & Risken_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDisplacementen_US
dc.subjectNrtken_US
dc.subjectGlonassen_US
dc.subjectGpsen_US
dc.titleSimulation case study of displacement monitoring using network derived positioningen_US
dc.typeArticleen_US

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