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Conferences > ACPC > 2018 > Su4D > Su4D.7
  • Asia Communications and Photonics Conference (ACP) 2018
  • OSA Technical Digest (Optica Publishing Group, 2018),
  • paper Su4D.7

An Indoor Visible Light Positioning System Using Artificial Neural Network

Chun Lin, Bangjiang Lin, Xuan Tang, Zhenlei Zhou, Haiguang Zhang, Sushank Chaudhary, and Zabih Ghassemlooy

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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.

© 2018 The Author(s)

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