DocumentCode
1756594
Title
Wavelet-Neural Network VLC Receiver in the Presence of Artificial Light Interference
Author
Rajbhandari, Sujan ; Haigh, Paul Anthony ; Ghassemlooy, Zabih ; Popoola, Wasiu
Author_Institution
Dept. of Eng. & Environ., Northumbria Univ., Newcastle upon Tyne, UK
Volume
25
Issue
15
fYear
2013
fDate
Aug.1, 2013
Firstpage
1424
Lastpage
1427
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-tozero 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.
Keywords
light emitting diodes; light interference; neural nets; optical communication; optical modulation; optical receivers; p-i-n photodiodes; photodetectors; wavelet transforms; FLI; OOK-NRZ; VLC receiver; artificial light interference; data communications; fluorescent light interference; illumination; nonreturn-tozero on-off keying; visible light communications; wavelet neural network; wavelet transform; white light emitting diodes; Artificial light interference; artificial neural network; visible light communications; wavelet transform;
fLanguage
English
Journal_Title
Photonics Technology Letters, IEEE
Publisher
ieee
ISSN
1041-1135
Type
jour
DOI
10.1109/LPT.2013.2266477
Filename
6525318
Link To Document