• DocumentCode
    1251755
  • Title

    Exploiting Equalization Techniques for Improving Data Rates in Organic Optoelectronic Devices for Visible Light Communications

  • Author

    Haigh, Paul Anthony ; Ghassemlooy, Zabih ; Le Minh, Hoa ; Rajbhandari, Sujan ; Arca, Francesco ; Tedde, Sandro Francesco ; Hayden, Oliver ; Papakonstantinou, Ioannis

  • Author_Institution
    Opt. Commun. Res. Group, Northumbria Univ., Newcastle upon Tyne, UK
  • Volume
    30
  • Issue
    19
  • fYear
    2012
  • Firstpage
    3081
  • Lastpage
    3088
  • Abstract
    This paper presents the use of equalization techniques in visible light communication (VLC) systems in order to increase the data rate. Here we investigate two VLC links a silicon (Si) light emitting diode (LED) and an organic photodetector (OPD), and an organic LED (OLED) plus an Si photodetector (PD), together with three equalization schemes of an RC high pass equalizer, a fractionally spaced zero-forcing equalizer (ZF) and an artificial neural network (ANN). In addition we utilize a pre-distortion scheme to enhance the performance of the digital equalizers. For both systems the bit rate achieved are 750 kb/s from a raw bandwidth (BW) of 30 kHz and 550 kb/s from a raw BW of 93 kHz.
  • Keywords
    equalisers; neural nets; optical communication equipment; optical links; optoelectronic devices; organic light emitting diodes; photodetectors; OLED; artificial neural network; bandwidth 30 kHz; bandwidth 93 kHz; bit rate 550 kbit/s; bit rate 750 kbit/s; data rates; digital equalizer; equalization techniques; light emitting diode; organic LED; organic optoelectronic devices; organic photodetector; spaced zero-forcing equalizer; visible light communications; Artificial neural networks; Equalizers; Noise; Organic light emitting diodes; Silicon; Equalizers; organic light-emitting diodes (OLEDs); organic photodetector (OPD); visible light communications (VLC);
  • fLanguage
    English
  • Journal_Title
    Lightwave Technology, Journal of
  • Publisher
    ieee
  • ISSN
    0733-8724
  • Type

    jour

  • DOI
    10.1109/JLT.2012.2210028
  • Filename
    6249708