Non-line-of-sight optical camera communications based on CPWM and a convolutional neural network

Non-line-of-sight (NLOS) optical camera communications (OCC) exhibit greater link availability and mobility than line-of-sight links, which are more susceptible to blocking and shadowing. In this work, we propose an NLOS OCC system, where the data signal is mapped into color pulse width modulation (...

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Veröffentlicht in:Applied optics (2004) 2023-10, Vol.62 (28), p.7367-7372
Hauptverfasser: Wan, Xiangyu, Lin, Bangjiang, Ghassemlooy, Zabih, Huang, Tianming, Luo, Jiabin, Ding, Yongqi
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container_end_page 7372
container_issue 28
container_start_page 7367
container_title Applied optics (2004)
container_volume 62
creator Wan, Xiangyu
Lin, Bangjiang
Ghassemlooy, Zabih
Huang, Tianming
Luo, Jiabin
Ding, Yongqi
description Non-line-of-sight (NLOS) optical camera communications (OCC) exhibit greater link availability and mobility than line-of-sight links, which are more susceptible to blocking and shadowing. In this work, we propose an NLOS OCC system, where the data signal is mapped into color pulse width modulation (CPWM) symbols prior to transmission using a red-, green-, and blue light-emitting diode. A convolutional-neural-network-based receiver is used to demodulate the CPWM signal. Based on experimental results, the proposed scheme effectively mitigates the effects of diffuse reflection induced intersymbol interference, resulting in an increased data transmission rate to 7.2 kbps over a link span of more than 2 m, which is typical for indoor applications.
doi_str_mv 10.1364/AO.499844
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source OSA Publishing; Alma/SFX Local Collection
subjects Artificial neural networks
Cameras
Data transmission
Light emitting diodes
Line of sight communication
Neural networks
Pulse duration modulation
Transmission rate (communications)
title Non-line-of-sight optical camera communications based on CPWM and a convolutional neural network
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