Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32796
DC FieldValueLanguage
dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorCai, C-
dc.creatorLiu, Z-
dc.creatorXia, P-
dc.creatorDai, W-
dc.date.accessioned2015-08-28T04:28:30Z-
dc.date.available2015-08-28T04:28:30Z-
dc.identifier.issn1080-5370-
dc.identifier.urihttp://hdl.handle.net/10397/32796-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectGPSen_US
dc.subjectCycle slipen_US
dc.subjectMelbourne–Wübbena linear combinationen_US
dc.subjectForward and backward moving window averagingen_US
dc.subjectSecond-orderen_US
dc.subjectTime-difference phase ionospheric residualen_US
dc.titleCycle slip detection and repair for undifferenced GPS observations under high ionospheric activityen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage247-
dc.identifier.epage260-
dc.identifier.volume17-
dc.identifier.issue2-
dc.identifier.doi10.1007/s10291-012-0275-7-
dcterms.abstractWe develop a new approach for cycle slip detection and repair under high ionospheric activity using undifferenced dual-frequency GPS carrier phase observations. A forward and backward moving window averaging (FBMWA) algorithm and a second-order, time-difference phase ionospheric residual (STPIR) algorithm are integrated to jointly detect and repair cycle slips. The FBMWA algorithm is proposed to detect cycle slips from the widelane ambiguity of Melbourne–Wübbena linear combination observable. The FBMWA algorithm has the advantage of reducing the noise level of widelane ambiguities, even if the GPS data are observed under rapid ionospheric variations. Thus, the detection of slips of one cycle becomes possible. The STPIR algorithm can better remove the trend component of ionospheric variations compared to the normally used first-order, time-difference phase ionospheric residual method. The combination of STPIR and FBMWA algorithms can uniquely determine the cycle slips at both GPS L 1 and L 2 frequencies. The proposed approach has been tested using data collected under different levels of ionospheric activities with simulated cycle slips. The results indicate that this approach is effective even under active ionospheric conditions.-
dcterms.bibliographicCitationGPS solutions, 2013, v. 17, no. 2, p. 247-260-
dcterms.isPartOfGPS solutions-
dcterms.issued2013-
dc.identifier.eissn1521-1886-
dc.identifier.rosgroupidr63388-
dc.description.ros2012-2013 > Academic research: refereed > Publication in refereed journal-
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