Using Linear Interpolation to Reduce the Training Samples for Regression Based Visible Light Positioning System

Using Linear Interpolation to Reduce the Training Samples for Regression Based Visible Light Positioning System

We put forward and experimentally demonstrate a second order machine-learning (ML) based visible-light-positioning (VLP) system using simple linear interpolation algorithm to reduce the training samples required in the ML algorithm. Algorithms of the second order regression ML model using 2,430 trai...

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Bibliographic Details
Main Authors: Yu-Chun Wu, Ke-Ling Hsu, Yang Liu, Chong-You Hong, Chi-Wai Chow, Chien-Hung Yeh, Xin-Lan Liao, Kun-Hsien Lin, Yi-Yuan Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Photonics Journal
Subjects:
Light emitting diode (LED)
visible light communication (VLC)
visible light positioning (VLP).
Online Access:https://ieeexplore.ieee.org/document/9004522/

Internet

https://ieeexplore.ieee.org/document/9004522/

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