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dc.contributor.authorHong, Chong-Youen_US
dc.contributor.authorWu, Yu-Chunen_US
dc.contributor.authorLin, Yu-Hsiangen_US
dc.contributor.authorLiu, Yangen_US
dc.contributor.authorChow, Chi-Waien_US
dc.contributor.authorMeng, Hsin-Feien_US
dc.contributor.authorChang, Yi-Mingen_US
dc.contributor.authorYeh, Chien-Hungen_US
dc.contributor.authorHsu, Ke-Lingen_US
dc.contributor.authorSong, Shao-Huaen_US
dc.date.accessioned2020-10-05T02:01:54Z-
dc.date.available2020-10-05T02:01:54Z-
dc.date.issued2020-08-31en_US
dc.identifier.issn1094-4087en_US
dc.identifier.urihttp://dx.doi.org/10.1364/OE.399711en_US
dc.identifier.urihttp://hdl.handle.net/11536/155328-
dc.description.abstractWe propose and demonstrate a received-signal-strength (RSS) based visible light positioning (VLP) system using a low-cost organic photovoltaic cell (OPVC) receiver (Rx). The OPVC is a passive device without the need of external power supply. It could detect VLC signal and harvest energy. Our developed OPVC has a high power conversion efficiency (PCE) of 9.8%. The VLP system can be operated at a low illumination of 130 lux. The regression machine learning (MIL) algorithm is used to enhance the positioning accuracy. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreementen_US
dc.language.isoen_USen_US
dc.titleVisible light positioning (VLP) system using low-cost organic photovoltaic cell (OPVC) for low illumination environmentsen_US
dc.typeArticleen_US
dc.identifier.doi10.1364/OE.399711en_US
dc.identifier.journalOPTICS EXPRESSen_US
dc.citation.volume28en_US
dc.citation.issue18en_US
dc.citation.spage26137en_US
dc.citation.epage26142en_US
dc.contributor.department物理研究所zh_TW
dc.contributor.department光電工程學系zh_TW
dc.contributor.departmentInstitute of Physicsen_US
dc.contributor.departmentDepartment of Photonicsen_US
dc.identifier.wosnumberWOS:000565713200037en_US
dc.citation.woscount0en_US
Appears in Collections:Articles


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