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author:

Wan, Xiangyu (Wan, Xiangyu.) [1] | Lin, Bangjiang (Lin, Bangjiang.) [2] | Ghassemlooy, Zabih (Ghassemlooy, Zabih.) [3] | Huang, Tianming (Huang, Tianming.) [4] | Luo, Jiabin (Luo, Jiabin.) [5] | Ding, Yongqi (Ding, Yongqi.) [6]

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Abstract:

In this work, we propose a color pulse width modulation (CPWM) NLOS optical camera system and adopt a convolutional neural network (CNN) demodulation scheme. Experimental results show that the proposed scheme effectively mitigates the effects of diffuse reflection induced intersymbol interference, achieving a transmission rate of 7.2 kb/s on a NLOS link exceeding 2 meters. © 2023 IEEE.

Keyword:

Cameras Convolution Convolutional neural networks Pulse width modulation Visible light communication

Community:

  • [ 1 ] [Wan, Xiangyu]Fuzhou University, School of Advanced Manufacturing, Fuzhou, China
  • [ 2 ] [Lin, Bangjiang]Chinese Academy of Sciences, Quanzhou Institute of Equipment Manufacturing, Quanzhou, China
  • [ 3 ] [Ghassemlooy, Zabih]Northumbria University, Optical Communications Research Group, NCRLab, Faculty of Engineering and Environment, Newcastle, United Kingdom
  • [ 4 ] [Huang, Tianming]Chinese Academy of Sciences, Quanzhou Institute of Equipment Manufacturing, Quanzhou, China
  • [ 5 ] [Luo, Jiabin]Chinese Academy of Sciences, Quanzhou Institute of Equipment Manufacturing, Quanzhou, China
  • [ 6 ] [Ding, Yongqi]Chinese Academy of Sciences, Quanzhou Institute of Equipment Manufacturing, Quanzhou, China

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Year: 2023

Page: 17-19

Language: English

Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 4

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