• DocumentCode
    1240864
  • Title

    Spectral Recovery for Low-Resolution Optical Spectrum Monitors

  • Author

    Li, Mei ; Pendock, Graeme J. ; Evans, Robin J.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Melbourne Univ., Melbourne, VIC
  • Volume
    20
  • Issue
    13
  • fYear
    2008
  • fDate
    7/1/2008 12:00:00 AM
  • Firstpage
    1109
  • Lastpage
    1111
  • Abstract
    Optical spectral monitors that monitor a range of parameters are valuable for the management of optical networks. However, they require fine spectral resolution, otherwise, the measured spectra are blurred, preventing such parameters being determined. In this letter, we demonstrate how the regularized structured total least squares signal processing method can be used to successfully reverse this blurring. Its application relaxes the required resolution for optical spectral monitors with subsequent benefits of increased robustness and reduced cost.
  • Keywords
    least squares approximations; optical fibre networks; signal processing; spectral analysis; telecommunication network management; fine spectral resolution; least squares signal processing method; optical network management; optical spectrum monitors; spectral recovery; Least squares methods; Optical fiber networks; Optical filters; Optical noise; Optical signal processing; Robustness; Signal resolution; Signal to noise ratio; Wavelength division multiplexing; Wavelength measurement; Inverse problems; least mean square methods; monitoring; optical spectroscopy; optical variables measurement; signal processing; spectral analysis; wavelength-division multiplexing (WDM);
  • fLanguage
    English
  • Journal_Title
    Photonics Technology Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1041-1135
  • Type

    jour

  • DOI
    10.1109/LPT.2008.924292
  • Filename
    4538121