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

Xiangyu Wan; Bangjiang Lin; Zabih Ghassemlooy; Tianming Huang; Jiabin Luo; Yongqi Ding

doi:10.1364/ao.499844

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

Xiangyu Wan, Bangjiang Lin^*, Zabih Ghassemlooy, Tianming Huang, Jiabin Luo, Yongqi Ding

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

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Abstract

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.

Original language	English
Pages (from-to)	7367-7372
Number of pages	6
Journal	Applied Optics
Volume	62
Issue number	28
Early online date	21 Sept 2023
DOIs	https://doi.org/10.1364/ao.499844
Publication status	Published - 1 Oct 2023

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

abstract = "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.",

author = "Xiangyu Wan and Bangjiang Lin and Zabih Ghassemlooy and Tianming Huang and Jiabin Luo and Yongqi Ding",

note = "Funding information: Natural Science Foundation of Fujian Province under Grant (2022J01499); EU COST Action NEWFOCUS under Grant (CA19111); Open Funding of State Key Laboratory of Advanced Optical Communication Systems and Networks (2023GZKF10 ).",

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doi = "10.1364/ao.499844",

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T1 - Non-line-of-sight optical camera communications based on CPWM and a convolutional neural network

AU - Wan, Xiangyu

AU - Lin, Bangjiang

AU - Ghassemlooy, Zabih

AU - Huang, Tianming

AU - Luo, Jiabin

AU - Ding, Yongqi

N1 - Funding information: Natural Science Foundation of Fujian Province under Grant (2022J01499); EU COST Action NEWFOCUS under Grant (CA19111); Open Funding of State Key Laboratory of Advanced Optical Communication Systems and Networks (2023GZKF10 ).

PY - 2023/10/1

Y1 - 2023/10/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85174261711

U2 - 10.1364/ao.499844

DO - 10.1364/ao.499844

M3 - Article

SN - 1559-128X

VL - 62

SP - 7367

EP - 7372

JO - Applied Optics

JF - Applied Optics

IS - 28

ER -

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

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