Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/30898
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dc.contributor.authorChaudhary, Nehapt_PT
dc.contributor.authorAlves, Luis Neropt_PT
dc.contributor.authorGhassemlooy, Zabihpt_PT
dc.date.accessioned2021-03-17T19:12:49Z-
dc.date.available2021-03-17T19:12:49Z-
dc.date.issued2019-
dc.identifier.isbn978-1-7281-3768-1-
dc.identifier.urihttp://hdl.handle.net/10773/30898-
dc.description.abstractThis paper presents a survey on visible light positioning techniques. The paper briefly reviews conventional positioning methods based on Rx signal strength (RSS), time difference of arrival (TDOA) and angle of arrival (AOA). Then it focus on the current research trends, relying on the machine learning techniques, sensor fusion and communication requirements.pt_PT
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/764461/EUpt_PT
dc.rightsrestrictedAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectVisible light positioning (VLP)pt_PT
dc.subjectMachine learningpt_PT
dc.subjectNeural networkspt_PT
dc.subjectModulation schemespt_PT
dc.titleCurrent trends on visible light positioning techniquespt_PT
dc.typebookPartpt_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
ua.event.date27-28 April, 2019pt_PT
degois.publication.firstPage100pt_PT
degois.publication.lastPage105pt_PT
degois.publication.title2019 2nd West Asian Colloquium on Optical Wireless Communications (WACOWC)pt_PT
dc.identifier.doi10.1109/WACOWC.2019.8770211pt_PT
dc.identifier.esbn978-1-7281-3767-4-
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IT - Capítulo de livro

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