3-D Indoor Visible Light Positioning (VLP) System based on Linear Regression or Kernel Ridge Regression Algorithms

Dong Chang Lin, Yu Chun Wu, Chong You Hong, Shao Hua Song, Yun Shen Lin, Yang Liu, Chien Hung Yeh, Chi Wai Chow

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We proposed and demonstrated a 3-D indoor visible light positioning (VLP) system based on received signal strength (RSS) technique. To enhance the positioning accuracy, linear regression (LR) and kernel ridge regression (KRR) were employed. Here, we experimentally compared both schemes, and reported that the KRR scheme outperformed the LR scheme.

Original languageEnglish
Title of host publication2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728173078
DOIs
StatePublished - Dec 2020
Event2020 IEEE Globecom Workshops, GC Wkshps 2020 - Virtual, Taipei, Taiwan
Duration: 7 Dec 202011 Dec 2020

Publication series

Name2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings

Conference

Conference2020 IEEE Globecom Workshops, GC Wkshps 2020
CountryTaiwan
CityVirtual, Taipei
Period7/12/2011/12/20

Keywords

  • light-emitting-diode (LED)
  • visible light communication (VLC)
  • visible light positioning (VLP)

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