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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 proceeding › Conference Contribution (Conference Proceeding)

    4 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 Sept 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 2013 → 12 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
    Country/TerritoryUnited Kingdom
    CityGraz
    Period10/07/13 → 12/07/13

    Keywords

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

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