• DocumentCode
    13230
  • Title

    Stokes Space-Based Optical Modulation Format Recognition for Digital Coherent Receivers

  • Author

    Borkowski, Robert ; Zibar, D. ; Caballero, Antonio ; Arlunno, Valeria ; Monroy, I.T.

  • Author_Institution
    Dept. of Photonics Eng., Tech. Univ. of Denmark, Lyngby, Denmark
  • Volume
    25
  • Issue
    21
  • fYear
    2013
  • fDate
    Nov.1, 2013
  • Firstpage
    2129
  • Lastpage
    2132
  • Abstract
    We present a technique for modulation format recognition for heterogeneous reconfigurable optical networks. The method is based on Stokes space signal representation and uses a variational Bayesian expectation maximization machine learning algorithm. Differentiation between diverse common coherent modulation formats is successfully demonstrated numerically and experimentally. The proposed method does not require training or a constellation diagram to operate, is insensitive to polarization mixing or frequency offset and can be implemented in any receiver capable of measuring Stokes parameters.
  • Keywords
    Bayes methods; expectation-maximisation algorithm; optical fibre networks; optical modulation; optical receivers; variational techniques; Stokes space signal representation; digital coherent receivers; diverse common coherent modulation formats; frequency offset; heterogeneous reconfigurable optical networks; optical modulation format recognition; polarization mixing; variational Bayesian expectation maximization machine learning algorithm; Digital signal processing; Optical attenuators; Optical modulation; Optical receivers; Phase shift keying; Coherent detection; Gaussian mixture models (GMM); Stokes space; modulation format detection (MFD); modulation format identification (MFI); modulation format recognition (MFR); poincaré sphere; polarization multiplexing; variational Bayesian expectation maximization (VBEM);
  • fLanguage
    English
  • Journal_Title
    Photonics Technology Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1041-1135
  • Type

    jour

  • DOI
    10.1109/LPT.2013.2282303
  • Filename
    6601667