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Footprint model in a navigation system based on visible light communication

dc.contributor.authorLouro, Paula
dc.contributor.authorVieira, Manuela
dc.contributor.authorVieira, Manuel
dc.contributor.authorLima, Mirtes de
dc.contributor.authorRodrigues, João
dc.contributor.authorVieira, Pedro
dc.date.accessioned2021-11-15T11:38:14Z
dc.date.available2021-11-15T11:38:14Z
dc.date.issued2021
dc.descriptionEste trabalho foi financiado pelo Concurso Anual para Projetos de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) 2020 do Instituto Politécnico de Lisboa. Código de referência IPL/2020/GEO-LOC/ISEL
dc.description.abstractIndoor navigation is hardly managed by the usual Global Positioning System (GPS) due to the strong attenuation of signals inside the buildings. Alternative based on RF optical, magnetic or acoustic signals can be used. Among the optical technologies, Visible Light Communication (VLC) provides good position accuracy. The proposed system uses commercial RGB white LEDs for the generation of the light, which is simultaneously coded and modulated to transmit information. The receiver includes a multilayered photodetector based on a-SiC:H operating in the visible spectrum. The positioning system includes multiple, identical navigation cells. Inside each cell, the optical pattern defined by the VLC transmitters establishes specific spatial regions assigned each to different optical excitations, which configures the footprint of the navigation cell. Demodulation and decoding procedures of the photocurrent signal measured by the photodetector are used to identify the input optical excitations and enable position recognition inside the cell. The footprint model is characterized using geometrical and optical assumptions, namely the Lambertian model for the LEDs and the evaluation of the channel gain of the VLC link. An algorithm to decode the information is established and the positioning accuracy is discussed. The experimental results confirmed that the proposed VLC architecture is suitable for the intended application.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLOURO, Paula; [et al] – Footprint model in a navigation system based on visible light communication. In SENSORDEVICES 2021: The Twelfth International Conference on Sensor Device Technologies and Applications. Athens, Greece, IARIA, 2021. ISBN 978-1-61208-918-8. Pp. 92-97pt_PT
dc.identifier.isbn978-1-61208-918-8
dc.identifier.issn2308-3514
dc.identifier.urihttp://hdl.handle.net/10400.21/13998
dc.language.isoengpt_PT
dc.publisherIARIApt_PT
dc.relationUID/EEA/00066/2019 - FCTpt_PT
dc.relationProjeto financiado no âmbito do Concurso de Projetos de Investigação, Desenvolvimento, Inovação & Criação Artística (IDI&CA) financiados pelo Instituto Politécnico de Lisboa. IPL/2020/GEO-LOC/ISELpt_PT
dc.subjectVisible light communicationpt_PT
dc.subjectIndoor navigationpt_PT
dc.subjectWhite LEDspt_PT
dc.subjectLambertian modelpt_PT
dc.subjectNavigation cellpt_PT
dc.titleFootprint model in a navigation system based on visible light communicationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceNovember 14, 2021 to November 18, 2021 - Athens, Greecept_PT
oaire.citation.endPage97pt_PT
oaire.citation.startPage92pt_PT
oaire.citation.titleSENSORDEVICES 2021: The Twelfth International Conference on Sensor Device Technologies and Applicationspt_PT
person.familyNameLouro
person.familyNameVieira
person.familyNameAugusto Vieira
person.familyNameVieira
person.givenNamePaula
person.givenNameManuela
person.givenNameManuel
person.givenNamePedro
person.identifier499161
person.identifier10792
person.identifierI-8527-2018
person.identifier.ciencia-idE511-8C08-E606
person.identifier.ciencia-id9516-E25E-BB8E
person.identifier.ciencia-idA511-1330-549F
person.identifier.ciencia-id071B-9A70-15B8
person.identifier.orcid0000-0002-4167-2052
person.identifier.orcid0000-0002-1150-9895
person.identifier.orcid0000-0003-1385-3646
person.identifier.orcid0000-0003-0279-8741
person.identifier.ridU-8346-2017
person.identifier.ridV-7860-2017
person.identifier.scopus-author-id8845716400
person.identifier.scopus-author-id7202140173
person.identifier.scopus-author-id5719 1567905
person.identifier.scopus-author-id7004567421
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication.latestForDiscoveryb77c6785-9cfb-4cd4-90b5-c2b816bd7d11

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