An Indoor Visible Light Positioning System Using Artificial Neural Network

Lin, Chun, Lin, Bangjiang, Tang, Xuan, Zhou, Zhenlei, Chaudhary, Sushank and Ghassemlooy, Zabih (2018) An Indoor Visible Light Positioning System Using Artificial Neural Network. In: 2018 Asia Communications and Photonics Conference (ACP). IEEE. ISBN 978-1-5386-5519-1

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Abstract

We propose a visible light positioning system based on an artificial neural network (ANN) and optical camera communications. The receiver’s position is approximately and precisely estimated based on the decoded block coordinate and a typical back propagation ANN, respectively. The experimental results show that the proposed scheme offers a mean positioning error of 1.49 cm, which is required in many indoor positioning scenarios where high accuracy is essential.

Item Type:	Book Section
Subjects:	H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User:	Becky Skoyles
Date Deposited:	14 Jan 2019 11:16
Last Modified:	11 Oct 2019 14:45
URI:	http://nrl.northumbria.ac.uk/id/eprint/37563

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