• DocumentCode
    1428960
  • Title

    Regularized Sparse Recovery for Optical Power Monitoring With Low-Cost Tunable Optical Filters

  • Author

    Yu, Zhu Liang ; Liu, Gordon Ning ; Qiu, Shaofeng ; Wei, Yijia ; Shen, Shuqiang ; Xiong, Qianjin

  • Author_Institution
    Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
  • Volume
    22
  • Issue
    10
  • fYear
    2010
  • fDate
    5/15/2010 12:00:00 AM
  • Firstpage
    697
  • Lastpage
    699
  • Abstract
    We propose a regularized sparse recovery (RSR) technique to monitor optical power from the broadened optical spectrum acquired by scanning a tunable optical filter (TOF). The key idea of RSR is to find a smooth but sparse signal spectrum that matches the observed data of a broadened spectrum model within a tolerable error. Experiments demonstrated that RSR can be used to monitor accurately the power of mixed 10-G/40-G wavelength-division-multiplexing channels with 50-GHz channel spacing using commercial TOFs. This technique also has higher immunity to measurement and TOF response errors than the regularized least square method. It does not require strong repeatability of TOF response and makes the low-cost TOF suitable for optical power monitoring.
  • Keywords
    broadband networks; channel estimation; equalisers; error statistics; optical communication equipment; optical filters; optical tuning; wavelength division multiplexing; automatic power equalization; broadened optical spectrum; error statistics; frequency 50 Hz; optical power monitoring; optical spectrum analyzer; regularized sparse recovery; sparse signal spectrum; tunable optical filters; wavelength-division-multiplexing channels; Optical performance monitoring (OPM); regularized sparse recovery (RSR); tunable optical filter (TOF);
  • fLanguage
    English
  • Journal_Title
    Photonics Technology Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1041-1135
  • Type

    jour

  • DOI
    10.1109/LPT.2010.2044169
  • Filename
    5422684