• DocumentCode
    3570998
  • Title

    Optical performance monitoring of PSK data channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams via balanced detection

  • Author

    Wu, Xiaoxia ; Jargon, Jeffrey A. ; Jia, Zhensheng ; Paraschis, Loukas ; Skoog, Ronald A. ; Willner, Alan E.

  • Author_Institution
    Dept. of Electr. Eng. - Syst., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    We demonstrate a technique of using artificial neural networks for optical performance monitoring of PSK data signals. Parameters for training are derived from delay-tap asynchronous diagrams using balanced detection. We also compare the results with the case of using direct detection.
  • Keywords
    delays; neural nets; optical fibre networks; optical modulation; phase shift keying; telecommunication computing; telecommunication network management; PSK data channel; PSK data signal; artificial neural network; balanced detection; delay-tap asynchronous diagram; direct detection; optical performance monitoring; Artificial neural networks; Condition monitoring; Delay; Neurons; Optical computing; Optical fiber networks; Optical noise; Optical receivers; Phase shift keying; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optical Communication, 2009. ECOC '09. 35th European Conference on
  • Print_ISBN
    978-1-4244-5096-1
  • Type

    conf

  • Filename
    5287391
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3570998