Experimentally Demonstration of Non-line-of-sight Optical Camera Communications Based on CPWM and Convolutional Neural Network

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

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    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.

    Original languageEnglish
    Title of host publicationOGC 2023 - 8th Optoelectronics Global Conference
    Place of PublicationPiscataway, US
    PublisherIEEE
    Pages17-19
    Number of pages3
    Edition1st
    ISBN (Electronic)9798350325324, 9798350325317
    ISBN (Print)9798350325331
    DOIs
    Publication statusPublished - 5 Sept 2023
    Event8th Optoelectronics Global Conference, OGC 2023 - Shenzhen, China
    Duration: 5 Sept 20238 Sept 2023

    Publication series

    NameOGC 2023 - 8th Optoelectronics Global Conference

    Conference

    Conference8th Optoelectronics Global Conference, OGC 2023
    Country/TerritoryChina
    CityShenzhen
    Period5/09/238/09/23

    Keywords

    • Convolutional Neural Network (CNN)
    • Non-line-of-sight (NLOS)
    • Optical camera communication (OCC)
    • Pulse width modulation (PWM)
    • Visible light communications (VLC)

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