Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/41177
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dc.contributor.authorChaudhary, Nehapt_PT
dc.contributor.authorYounus, Othman Isampt_PT
dc.contributor.authorAlves, Luis Neropt_PT
dc.contributor.authorGhassemlooy, Zabihpt_PT
dc.contributor.authorZvanovec, Stanislavpt_PT
dc.date.accessioned2024-03-22T15:34:06Z-
dc.date.available2024-03-22T15:34:06Z-
dc.date.issued2022-07-20-
dc.identifier.isbn978-1-6654-1045-8-
dc.identifier.urihttp://hdl.handle.net/10773/41177-
dc.description.abstractThe accuracy of received signal strength (RSS)-based visible light-based positioning system in the indoor environment is constrained by the multipath nature of the channel. In this paper, the impact of transmitter (Tx) topology and Tx tilting angle on the accuracy of RSS-based VLP are investigated by considering the multipath environment. Two estimation algorithms are used, linear least square and nonlinear least square, and we show that (i) the Txs topology may have a significant impact on the positioning accuracy, in which the L-shape structure achieves the highest accuracy without considering any Tx tilting angles compared with triangular and diagonal shape structures; and (ii) the use of a triangular shape structure with Tx tilting angles offer the minimum positioning error compared with other structures.pt_PT
dc.description.sponsorshipCOST Action NEWFOCUS CA19111pt_PT
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50008%2F2020/PTpt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F50008%2F2020/PTpt_PT
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/764461/EUpt_PT
dc.rightsrestrictedAccesspt_PT
dc.subjectVLCpt_PT
dc.subjectVisible light positioningpt_PT
dc.subjectReceived signal strengthpt_PT
dc.subjectLED topologiespt_PT
dc.subjectTilting anglept_PT
dc.titleImpact of transmitter topologies on the performance of indoor visible light positioning systemspt_PT
dc.typebookPartpt_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
ua.event.date20-22 July, 2022pt_PT
degois.publication.firstPage43pt_PT
degois.publication.lastPage48pt_PT
degois.publication.title2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)pt_PT
dc.identifier.doi10.1109/CSNDSP54353.2022.9908042pt_PT
dc.identifier.esbn978-1-6654-1044-1-
Appears in Collections:DETI - Capítulo de livro
IT - Capítulo de livro

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