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

Paul Anthony Haigh, Zabih Ghassemlooy, Ioannis Papakonstantinou, Sujan Rajbhandari

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 2013 18th European Conference on Network and Optical Communications, NOC 2013 and 2013 8th Conference on Optical Cabling and Infrastructure, OC and I 2013
Pages153-158
Number of pages6
DOIs
Publication statusPublished - 17 Sep 2013
Event2013 18th European Conference on Network and Optical Communications, NOC 2013 and 2013 8th Conference on Optical Cabling and Infrastructure, OC and I 2013 - Graz, United Kingdom
Duration: 10 Jul 201312 Jul 2013

Conference

Conference2013 18th European Conference on Network and Optical Communications, NOC 2013 and 2013 8th Conference on Optical Cabling and Infrastructure, OC and I 2013
CountryUnited Kingdom
CityGraz
Period10/07/1312/07/13

Keywords

  • Artificial neural networks
  • digital signal processors
  • organic light emitting diodes
  • visible light communications

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