Multipath interference cancelation in GPS time series under changing physical conditions by means of adaptive filtering

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dc.contributor.authorUstun, Aydin
dc.contributor.authorYalvac, Sefa
dc.date.accessioned2020-03-26T19:54:44Z
dc.date.available2020-03-26T19:54:44Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractMultipath, a highly autocorrelated signal is observable phenomena during time periods longer than the sidereal period of Global Positioning System (GPS) satellites in their constellations. Multipath pattern and sidereal repeat time interaction are examined in terms of time series correlations of topocentric coordinates using GPS code and phase observations collected at high and low frequencies. The horizontal and vertical components at 5 and 30 s sampling rates are analyzed to detect and remove multipath classified by their M P (1) levels and baseline lengths. For the selected 11 stations that have 24-hour data from CORS stations in the USA and Turkey, the repeat times of the GPS constellation were identified as a function of maximum cross-correlation of adjacent time series. The multipath interference signal from two-day time series data is removed by an adaptive filter to improve time series of coordinate estimates. After the filtering process, an effective epoch based position tracking has been accomplished, especially in the height component. The position errors disappeared to maximum possible extent in the pseudo-range measurements. Up to 70% improvement for the phase derived coordinates in reflective environment has been achieved over the baselines ranging from 1 km to 175 km. For the phase observables, the filter success directly related to the multipath level which is specific to the station.en_US
dc.description.sponsorshipResearch Fund of Selcuk UniversitySelcuk University [09-101-058]en_US
dc.description.sponsorshipThe GPS data were provided from the online service of the CORS network managed by the USA National Geodetic Survey. This research was financially supported by the Research Fund of Selcuk University under grant 09-101-058. We also thank Barbaros C. Ipek (Konya Metropolitan Municipality) for providing GPS CORS network data for Konya region. We are grateful the anonymous reviewers for their helpful and constructive comments, and suggestions for improving the paper.en_US
dc.identifier.doi10.1007/s12145-017-0331-5en_US
dc.identifier.endpage371en_US
dc.identifier.issn1865-0473en_US
dc.identifier.issn1865-0481en_US
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage359en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s12145-017-0331-5
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36787
dc.identifier.volume11en_US
dc.identifier.wosWOS:000441233500003en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSPRINGER HEIDELBERGen_US
dc.relation.ispartofEARTH SCIENCE INFORMATICSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectGPSen_US
dc.subjectCross-Correlationen_US
dc.subjectMultipath effecten_US
dc.subjectAdaptive filteren_US
dc.subjectInterference cancelingen_US
dc.titleMultipath interference cancelation in GPS time series under changing physical conditions by means of adaptive filteringen_US
dc.typeArticleen_US

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