• DocumentCode
    3701059
  • Title

    Nonlinear decision boundary created by a machine learning-based classifier to mitigate nonlinear phase noise

  • Author

    Danshi Wang;Min Zhang;Ze Li;Yue Cui;Jingdan Liu;Yang Yang;Hongxiang Wang

  • Author_Institution
    State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    A machine learning-based classifier, namely SVM, is introduced to create the nonlinear decision boundary in M-ary PSK-based coherent optical system to mitigate NLPN. The maximum transmission distance and LPRD tolerance are improved by 480 km and 3.3 dBm for 8PSK.
  • Keywords
    "Support vector machines","Binary phase shift keying","Bit error rate","Maximum likelihood estimation","Optical fibers","Optical fiber communication"
  • Publisher
    ieee
  • Conference_Titel
    Optical Communication (ECOC), 2015 European Conference on
  • Type

    conf

  • DOI
    10.1109/ECOC.2015.7341753
  • Filename
    7341753
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3701059