Wavelet-neural network VLC receiver in the presence of artificial light interference

Sujan Rajbhandari, Paul Haigh , Zabih Ghassemlooy , Wasiu O. Popoola

    Research output: Contribution to journal › Article

    Abstract

    Visible light communications (VLC) using white light emitting diodes (WLED) has become popular due to the ability to provide illumination and data communications simultaneously. There are a number of challenges in VLC systems; one of the most critical being the effect of fluorescent light interference (FLI) which has largely been ignored. In this paper, we study the effect of FLI and introduce the wavelet transform (WT) and artificial neural network (ANN) based receiver to reduce effect of FLI as well as increase the available data rates.
    Original languageEnglish
    Pages (from-to)1424-1427
    Number of pages4
    JournalIEEE Photonics Technology Letters
    Volume25
    Issue number15
    DOIs
    Publication statusPublished - Aug 2013

    Fingerprint

    Light interference
    optical communication
    receivers
    Neural networks
    interference
    wavelet analysis
    Wavelet transforms
    Light emitting diodes
    telecommunication
    Communication systems
    light emitting diodes
    Lighting
    communication
    illumination
    Communication
    Visible light communication

    Keywords

    • visible light communications
    • fluorescent light interference

    Cite this

    Rajbhandari, Sujan ; Haigh , Paul ; Ghassemlooy , Zabih ; Popoola, Wasiu O. / Wavelet-neural network VLC receiver in the presence of artificial light interference. In: IEEE Photonics Technology Letters. 2013 ; Vol. 25, No. 15. pp. 1424-1427 .
    @article{7fb0a21ece4e40bebc86ca74927e9a43,
    title = "Wavelet-neural network VLC receiver in the presence of artificial light interference",
    abstract = "Visible light communications (VLC) using white light emitting diodes (WLED) has become popular due to the ability to provide illumination and data communications simultaneously. There are a number of challenges in VLC systems; one of the most critical being the effect of fluorescent light interference (FLI) which has largely been ignored. In this paper, we study the effect of FLI and introduce the wavelet transform (WT) and artificial neural network (ANN) based receiver to reduce effect of FLI as well as increase the available data rates.",
    keywords = "visible light communications , fluorescent light interference",
    author = "Sujan Rajbhandari and Paul Haigh and Zabih Ghassemlooy and Popoola, {Wasiu O.}",
    year = "2013",
    month = "8",
    doi = "10.1109/LPT.2013.2266477",
    language = "English",
    volume = "25",
    pages = "1424--1427",
    journal = "IEEE Photonics Technology Letters",
    issn = "1041-1135",
    publisher = "IEEE",
    number = "15",

    }

    Rajbhandari, S, Haigh , P, Ghassemlooy , Z & Popoola, WO 2013, 'Wavelet-neural network VLC receiver in the presence of artificial light interference', IEEE Photonics Technology Letters, vol. 25, no. 15, pp. 1424-1427 . https://doi.org/10.1109/LPT.2013.2266477

    Wavelet-neural network VLC receiver in the presence of artificial light interference. / Rajbhandari, Sujan; Haigh , Paul; Ghassemlooy , Zabih; Popoola, Wasiu O.

    In: IEEE Photonics Technology Letters, Vol. 25, No. 15, 08.2013, p. 1424-1427 .

    Research output: Contribution to journal › Article

    TY - JOUR

    T1 - Wavelet-neural network VLC receiver in the presence of artificial light interference

    AU - Rajbhandari, Sujan

    AU - Haigh , Paul

    AU - Ghassemlooy , Zabih

    AU - Popoola, Wasiu O.

    PY - 2013/8

    Y1 - 2013/8

    N2 - Visible light communications (VLC) using white light emitting diodes (WLED) has become popular due to the ability to provide illumination and data communications simultaneously. There are a number of challenges in VLC systems; one of the most critical being the effect of fluorescent light interference (FLI) which has largely been ignored. In this paper, we study the effect of FLI and introduce the wavelet transform (WT) and artificial neural network (ANN) based receiver to reduce effect of FLI as well as increase the available data rates.

    AB - Visible light communications (VLC) using white light emitting diodes (WLED) has become popular due to the ability to provide illumination and data communications simultaneously. There are a number of challenges in VLC systems; one of the most critical being the effect of fluorescent light interference (FLI) which has largely been ignored. In this paper, we study the effect of FLI and introduce the wavelet transform (WT) and artificial neural network (ANN) based receiver to reduce effect of FLI as well as increase the available data rates.

    KW - visible light communications

    KW - fluorescent light interference

    U2 - 10.1109/LPT.2013.2266477

    DO - 10.1109/LPT.2013.2266477

    M3 - Article

    VL - 25

    SP - 1424

    EP - 1427

    JO - IEEE Photonics Technology Letters

    JF - IEEE Photonics Technology Letters

    SN - 1041-1135

    IS - 15

    ER -

    Rajbhandari S, Haigh P, Ghassemlooy Z, Popoola WO. Wavelet-neural network VLC receiver in the presence of artificial light interference. IEEE Photonics Technology Letters. 2013 Aug;25(15):1424-1427 . https://doi.org/10.1109/LPT.2013.2266477

    Documents and Links