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

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

doi:10.1109/LPT.2013.2266477

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 › peer-review

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 language	English
Pages (from-to)	1424-1427
Number of pages	4
Journal	IEEE Photonics Technology Letters
Volume	25
Issue number	15
DOIs	https://doi.org/10.1109/LPT.2013.2266477
Publication status	Published - Aug 2013

Keywords

visible light communications
fluorescent light interference

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10.1109/LPT.2013.2266477

Cite this

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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. ",

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

Abstract

Keywords

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