Received-Signal-Strength (RSS) Based 3D Visible-Light-Positioning (VLP) System Using Kernel Ridge Regression Machine Learning Algorithm With Sigmoid Function Data Preprocessing Method

Received-Signal-Strength (RSS) Based 3D Visible-Light-Positioning (VLP) System Using Kernel Ridge Regression Machine Learning Algorithm With Sigmoid Function Data Preprocessing Method

In this work, we propose and demonstrate a received-signal-strength (RSS) based visible-light-positioning (VLP) system using sigmoid function data preprocessing (SFDP) method; and apply it to two types of regression based machine learning algorithms; including the second-order linear regression mach...

Full description

Bibliographic Details
Main Authors: Yu-Chun Wu, Chi-Wai Chow, Yang Liu, Yun-Shen Lin, Chong-You Hong, Dong-Chang Lin, Shao-Hua Song, Chien-Hung Yeh
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Visible light communication (VLC)
visible light positioning (VLP)
light-emitting-diode (LED)
machine learning
Online Access:https://ieeexplore.ieee.org/document/9272728/

Internet

https://ieeexplore.ieee.org/document/9272728/

Similar Items