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

研究成果: Conference contribution同行評審

6 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728173078
DOIs
出版狀態Published - 12月 2020
事件2020 IEEE Globecom Workshops, GC Wkshps 2020 - Virtual, Taipei, 台灣
持續時間: 7 12月 202011 12月 2020

出版系列

名字2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings

Conference

Conference2020 IEEE Globecom Workshops, GC Wkshps 2020
國家/地區台灣
城市Virtual, Taipei
期間7/12/2011/12/20

指紋

深入研究「3-D Indoor Visible Light Positioning (VLP) System based on Linear Regression or Kernel Ridge Regression Algorithms」主題。共同形成了獨特的指紋。

引用此