Performance investigation of LAMBDA and bootstrapping methods for PPP narrow-lane ambiguity resolution

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dc.contributor.authorAtiz, Omer Faruk
dc.contributor.authorOgutcu, Sermet
dc.contributor.authorAlcay, Salih
dc.contributor.authorLi, Pan
dc.contributor.authorBugdayci, Ilkay
dc.date.accessioned2024-02-23T14:20:22Z
dc.date.available2024-02-23T14:20:22Z
dc.date.issued2021
dc.departmentNEÜen_US
dc.description.abstractPrecise point positioning with ambiguity resolution (PPP-AR) is a powerful tool for geodetic and time-constrained applications that require high precision. The performance of PPP-AR highly depends on the reliability of the correct integer carrier-phase ambiguity estimation. In this study, the performance of narrow-lane ambiguity resolution of PPP using the Least-squares AMBiguity Decorrelation (LAMBDA) and bootstrapping methods is extensively investigated using real data from 55 IGS stations over one-month in 2020. Static PPP with 24-, 12-, 8-, 4-, 2-, 1- and 1/2-h sessions using two different cutoff angles (7 degrees and 30 degrees) was conducted with three PPP modes: i.e. ambiguity-float and two kinds of ambiguity-fixed PPP using the LAMBDA and bootstrapping methods for narrow-lane AR, respectively. The results show that the LAMBDA method can produce more reliable results for 2 hour and shorter observation sessions compared with the bootstrapping method using a 7 degrees cutoff angle. For a 30 degrees cutoff angle, the LAMBDA method outperforms the bootstrapping method for observation sessions of 4 h and less. For long observation times, the bootstrapping method produced much more accurate coordinates compared with the LAMBDA method without considering the wrong fixes cases. The results also show that occurrences of fixing the wrong integer ambiguities using the bootstrapping method are higher than that of the LAMBDA method.en_US
dc.identifier.doi10.1080/10095020.2021.1942236
dc.identifier.endpage614en_US
dc.identifier.issn1009-5020
dc.identifier.issn1993-5153
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85110898411en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage604en_US
dc.identifier.urihttps://doi.org/10.1080/10095020.2021.1942236
dc.identifier.urihttps://hdl.handle.net/20.500.12452/13142
dc.identifier.volume24en_US
dc.identifier.wosWOS:000673871900001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofGeo-Spatial Information Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAmbiguity Resolutionen_US
dc.subjectNarrow-Laneen_US
dc.subjectPrecise Point Positioning (Ppp)en_US
dc.subjectLambdaen_US
dc.subjectBootstrappingen_US
dc.titlePerformance investigation of LAMBDA and bootstrapping methods for PPP narrow-lane ambiguity resolutionen_US
dc.typeArticleen_US

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