Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/100673
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorLi, Zen_US
dc.creatorChen, Wen_US
dc.creatorRuan, Ren_US
dc.creatorLiu, Xen_US
dc.date.accessioned2023-08-11T03:12:33Z-
dc.date.available2023-08-11T03:12:33Z-
dc.identifier.issn1080-5370en_US
dc.identifier.urihttp://hdl.handle.net/10397/100673-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© Springer-Verlag GmbH Germany, part of Springer Nature 2020en_US
dc.rightsThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10291-019-0948-6en_US
dc.subjectAmbiguity resolution (AR)en_US
dc.subjectAtmospheric informationen_US
dc.subjectBDS-3en_US
dc.subjectGPSen_US
dc.subjectPrecise Point Positioning (PPP)en_US
dc.titleEvaluation of PPP-RTK based on BDS-3/BDS-2/GPS observations : a case study in Europeen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume24en_US
dc.identifier.issue2en_US
dc.identifier.doi10.1007/s10291-019-0948-6en_US
dcterms.abstractThe Chinese BeiDou Navigation Satellite System (BDS) transited from regional (Asia–Pacific) to global on December 28, 2018. In this study, the performance of PPP-RTK based on BDS-3/BDS-2/GPS observations is analyzed by utilizing the observations in Europe during a calm ionospheric disturbance period with Kp-index ranging from 0o to 2-. Satellite clock offsets are first estimated and then fixed to determine the uncalibrated phase delays (UPDs) and the ionospheric/tropospheric information from the reference network. Real-time PPP and PPP AR based on raw observations are estimated at the user, in which atmospheric constraints are imported as virtual observations if available. Analysis results based on 3 days of observations reveal that centimeter-level positioning accuracy can be achieved based on GPS, BDS, or GPS + BDS observations, and the performance can be further improved by realizing PPP AR. The satellite-differenced ionospheric and tropospheric information can be predicted for the users with an accuracy of 24.6 mm and 5.6 mm, respectively. Augmented by the predicted atmospheric information, PPP-RTK can be realized based on GPS- or BDS-only observations, and the average number of epochs required for ambiguity fixing is 1.5 and 1.6, respectively. The RMS values of the positioning errors of the north, east, and up components based on GPS-only observations are 8.0, 4.7, and 19.7 mm, while 9.8, 7.3, 29.7 mm, respectively, based on BDS-only observations. Utilizing GPS and BDS observations together, the average number of epochs required decreases to 1.2, and the positioning errors become 5.6, 3.5, and 23.3 mm for the north, east, and up components, respectively. All these results suggest that BDS can provide high-accuracy positioning services independently for users in Europe. Although a small decrease in the positioning accuracy of the up component, which might be attributed to inappropriate weighting strategy between satellite systems and requires further researches in the future, the additional BDS observations can improve the performance in the time to the first fixed solution and the positioning accuracies with respect to GPS-only positioning. The performance of PPP-RTK based on BDS-3/BDS-2/GPS observations during medium and high ionospheric disturbance periods will also be estimated in the future to fully evaluate the effects of additional BDS-3 observations in high-accuracy GNSS applications.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationGPS solutions, Apr. 2020, v. 24, no. 2, 38en_US
dcterms.isPartOfGPS solutionsen_US
dcterms.issued2020-04-
dc.identifier.scopus2-s2.0-85077786829-
dc.identifier.eissn1521-1886en_US
dc.identifier.artn38en_US
dc.description.validate202305 bckw-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLSGI-0112-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextResearch Institute for Sustainable Urban Development of Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS52663080-
dc.description.oaCategoryGreen (AAM)en_US
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