• DocumentCode
    2036488
  • Title

    A robust fault detection algorithm for the improvement of OTDR sensitivity

  • Author

    Beghi, Alessandro ; Bertocco, Matteo

  • Author_Institution
    Dipartimento di Elettronica e Inf., Padova Univ., Italy
  • Volume
    2
  • fYear
    1996
  • fDate
    1996
  • Firstpage
    818
  • Abstract
    In the paper, an algorithm is presented for the detection of jump discontinuities in exponential signals buried in high level additive noise. It is employed as a post-processor in an optical time domain reflectometer (OTDR) to locate the position of discontinuities along the fiber. The proposed technique is based on a generalized likelihood ratio test applied to the innovation sequence resulting from Kalman filtering. A rigorous and thorough statistical analysis of the algorithm is reported, showing the achievable resolution together with the probability of error in the detection of faults
  • Keywords
    Kalman filters; error statistics; fault diagnosis; optical fibre communication; optical fibre testing; optical time-domain reflectometry; probability; random noise; state-space methods; statistical analysis; Kalman filtering; OTDR sensitivity; detection of faults; discontinuities; exponential signals; generalized likelihood ratio test; high level additive noise; jump discontinuities; optical time domain reflectometer; post-processor; probability of error; resolution; robust fault detection algorithm; statistical analysis; Additive noise; Fault detection; Filtering; Kalman filters; Noise robustness; Optical fiber filters; Optical fiber testing; Optical filters; Optical noise; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 1996. IMTC-96. Conference Proceedings. Quality Measurements: The Indispensable Bridge between Theory and Reality., IEEE
  • Conference_Location
    Brussels
  • Print_ISBN
    0-7803-3312-8
  • Type

    conf

  • DOI
    10.1109/IMTC.1996.507282
  • Filename
    507282