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Online artificial neural network equalization for a visible light communications system with an organic light emitting diode based transmitter

Lookup NU author(s): Dr Paul Haigh

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Abstract

This paper presents the use of a digital signal processor (DSP) to implement an artificial neural network (ANN) equalizer in an organic light emitting diode (OLED) based visible light communications (VLC) system for the first time. The ANN is used to counteract the inter-symbol interference (ISI) experienced when the transmission rate exceeds the system modulation bandwidth. The link is made up of an OLED as transmitter with a silicon photodetector as receiver. The bandwidth off the OLED is 93 kHz, enforcing a low pass transfer function on the system. The bit rate achieved is 500 kb/s, which agrees well with similar systems that have been processed with MATLAB. © 2013 IEEE.


Publication metadata

Author(s): Haigh PA, Ghassemlooy Z, Papakonstantinou I, Rajbhandari S

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Proceedings of the 2013 18th European Conference on Network and Optical Communications (NOC 2013) and 2013 8th Conference on Optical Cabling and Infrastructure (OC&I 2013)

Year of Conference: 2013

Pages: 153-158

Online publication date: 22/08/2013

Publisher: IEEE

URL: https://doi.org/10.1109/NOC-OCI.2013.6582882

DOI: 10.1109/NOC-OCI.2013.6582882

Library holdings: Search Newcastle University Library for this item

ISBN: 9781467358217


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