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Global Navigation Satellite System Real-Time Kinematic Positioning Framework for Precise Operation of a Swarm of Moving Vehicles

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dc.contributor.authorKim, Euiho-
dc.contributor.authorKim, Sae-kyeol-
dc.date.accessioned2022-11-07T02:41:23Z-
dc.date.available2022-11-07T02:41:23Z-
dc.date.created2022-11-07-
dc.date.issued2022-10-01-
dc.identifier.issn1424-8220-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/30514-
dc.description.abstractThe global navigation satellite system (GNSS) real-time kinematic (RTK) technique is used to achieve relative positioning centimeter levels among multiple agents on the move. A typical GNSS RTK estimates the relative positions of multiple rover receivers with respect to a single-base receiver. In a fleet of rover GNSS receivers, this approach is inefficient because each rover receiver only uses GNSS measurements of its own and those sent from a single-base receiver. In this study, we propose a novel GNSS RTK framework that facilitates the precise positioning of a swarm of moving vehicles through the GNSS measurements of multiple receivers and broadcasts fixed-integer ambiguities of GNSS carrier phases. The proposed framework not only provides efficient RTK positioning but also reliable performance with a limited number of GNSS satellites in view. Our experimental flight tests with six GNSS receivers showed that the systematic procedure of the proposed framework could maintain lower than 6 cm of 3D RMS positioning errors, whereas the conventional RTK failed to resolve the correct integer ambiguities of double difference carrier phase measurements more than 13% in five out of nine total baselines.-
dc.language영어-
dc.language.isoen-
dc.publisherMDPI-
dc.subjectSINGLE-FREQUENCY-
dc.subjectLOW-COST-
dc.subjectGNSS-
dc.subjectGPS-
dc.titleGlobal Navigation Satellite System Real-Time Kinematic Positioning Framework for Precise Operation of a Swarm of Moving Vehicles-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Euiho-
dc.identifier.doi10.3390/s22207939-
dc.identifier.scopusid2-s2.0-85140849433-
dc.identifier.wosid000873484800001-
dc.identifier.bibliographicCitationSENSORS, v.22, no.20-
dc.relation.isPartOfSENSORS-
dc.citation.titleSENSORS-
dc.citation.volume22-
dc.citation.number20-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaInstruments & Instrumentation-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryInstruments & Instrumentation-
dc.subject.keywordPlusSINGLE-FREQUENCY-
dc.subject.keywordPlusLOW-COST-
dc.subject.keywordPlusGNSS-
dc.subject.keywordPlusGPS-
dc.subject.keywordAuthorglobal navigation satellite systems-
dc.subject.keywordAuthorRTK-
dc.subject.keywordAuthorrelative position-
dc.subject.keywordAuthormulti agent operation-
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