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dc.contributor.authorHong, Chong-Youen_US
dc.contributor.authorWu, Yu-Chunen_US
dc.contributor.authorLiu, Yangen_US
dc.contributor.authorChow, Chi-Waien_US
dc.contributor.authorYeh, Chien-Hungen_US
dc.contributor.authorHsu, Ke-Lingen_US
dc.contributor.authorLin, Dong-Changen_US
dc.contributor.authorLiao, Xin-Lanen_US
dc.contributor.authorLin, Kun-Hsienen_US
dc.contributor.authorChen, Yi-Yuanen_US
dc.date.accessioned2020-10-05T01:59:50Z-
dc.date.available2020-10-05T01:59:50Z-
dc.date.issued2020-06-01en_US
dc.identifier.issn1943-0655en_US
dc.identifier.urihttp://dx.doi.org/10.1109/JPHOT.2020.2993031en_US
dc.identifier.urihttp://hdl.handle.net/11536/154962-
dc.description.abstractWe put forward and demonstrate a angle-of-arrival (AOA) based visible-light-positioning (VLP) system using quadrant-solar-cell (QSC) and third-order ridge regression machine learning (RRML) to improve the positioning accuracy.en_US
dc.language.isoen_USen_US
dc.subjectLight emitting diode (LED)en_US
dc.subjectvisible light communication (VLC)en_US
dc.subjectvisible light positioning (VLP)en_US
dc.titleAngle-of-Arrival (AOA) Visible Light Positioning (VLP) System Using Solar Cells With Third-Order Regression and Ridge Regression Algorithmsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/JPHOT.2020.2993031en_US
dc.identifier.journalIEEE PHOTONICS JOURNALen_US
dc.citation.volume12en_US
dc.citation.issue3en_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department光電工程學系zh_TW
dc.contributor.departmentDepartment of Photonicsen_US
dc.identifier.wosnumberWOS:000542739400001en_US
dc.citation.woscount0en_US
Appears in Collections:Articles


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