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

Sujan Rajbhandari; Paul Anthony Haigh; Zabih Ghassemlooy; Wasiu Popoola

doi:10.1109/LPT.2013.2266477

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

Sujan Rajbhandari, Paul Anthony Haigh, Zabih Ghassemlooy, Wasiu Popoola

Department of Electrical & Electronic Engineering

Research output: Contribution to journal › Article (Academic Journal) › peer-review

20 Citations (Scopus)

Abstract

Visible light communications (VLCs) using white light emitting diodes have become popular because of the ability to provide illumination and data communications simultaneously. There are a number of challenges in VLC systems among which the most critical being the effect of fluorescent light interference (FLI), which is largely ignored. In this letter, we study the effect of FLI and introduce the wavelet transform and artificial neural network based receiver to reduce the effect of FLI as well as increase the available data rates. An error free data communication up to 150 Mb/s is achieved using non-return-to-zero on-off keying (OOK-NRZ) modulation. This is the highest practically reported data rate for a single link using OOK-NRZ and a p-i-n photodetector.

Original language	English
Article number	6525318
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 - 29 Jul 2013

Keywords

Artificial light interference
artificial neural network
visible light communications
wavelet transform

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10.1109/LPT.2013.2266477

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abstract = "Visible light communications (VLCs) using white light emitting diodes have become popular because of the ability to provide illumination and data communications simultaneously. There are a number of challenges in VLC systems among which the most critical being the effect of fluorescent light interference (FLI), which is largely ignored. In this letter, we study the effect of FLI and introduce the wavelet transform and artificial neural network based receiver to reduce the effect of FLI as well as increase the available data rates. An error free data communication up to 150 Mb/s is achieved using non-return-to-zero on-off keying (OOK-NRZ) modulation. This is the highest practically reported data rate for a single link using OOK-NRZ and a p-i-n photodetector.",

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

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