• DocumentCode
    2246168
  • Title

    Accuracy Enhancement of Fiber Gas Sensor by CRD Technique and LMS Algorithm

  • Author

    Ni, N. ; Chan, C.C. ; Chuah, T.K. ; Xia, L. ; Sun, J. ; Shum, P.

  • Author_Institution
    Sch. of Chem. & Biomed. Eng., Nanyang Technol. Univ., Singapore
  • fYear
    2007
  • fDate
    26-31 Aug. 2007
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    A digital least mean square adaptive filter is proposed to reduce ASE noise in a CRD acetylene sensing fiber loop for improving the measurement accuracy. The simulation and experimental results show that the measurement accuracy in term of concentration of acetylene could achieve about 15 ppm.
  • Keywords
    adaptive filters; chemical variables measurement; fibre optic sensors; gas sensors; least mean squares methods; optical noise; organic compounds; superradiance; acetylene concentration; acetylene sensing fiber loop; amplified spontaneous emission noise; cavity ring-down spectroscopy; digital least mean square adaptive filter; fiber gas sensor; Attenuation; Attenuators; Biomedical measurements; Erbium-doped fiber amplifier; Gas detectors; Least squares approximation; Noise measurement; Optical fiber sensors; Optical fibers; Pollution measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Lasers and Electro-Optics - Pacific Rim, 2007. CLEO/Pacific Rim 2007. Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-1173-3
  • Electronic_ISBN
    978-1-4244-1174-0
  • Type

    conf

  • DOI
    10.1109/CLEOPR.2007.4391486
  • Filename
    4391486