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