• DocumentCode
    768194
  • Title

    Output-Noise Statistical Characterization for Digital-Phase-Demodulation Systems With Intensity-Based Input Noise

  • Author

    Todd, Michael D.

  • Author_Institution
    Dept. of Struct. Eng., California Univ., San Diego, La Jolla, CA
  • Volume
    25
  • Issue
    3
  • fYear
    2007
  • fDate
    3/1/2007 12:00:00 AM
  • Firstpage
    747
  • Lastpage
    756
  • Abstract
    A large fraction of fiber-optic-sensor systems make use of interferometry in the measurement process, implying the need for demodulation to obtain the encoded signal of interest. Of great interest for sensor characterization is the performance of the demodulation scheme under the influence of noise. In this paper, we construct a very general transfer function that relates intensity-induced input noise to its phase noise realization in the output for a wide class of digital-demodulation techniques. We proceed to compute analytically a probability density function of this output noise and use this to compute low-order statistical moments of the output noise. We compare the analytical formulations with simulated data from a representative demodulation scheme used in a currently existing fiber Bragg grating (FBG) sensor system and find excellent agreement
  • Keywords
    demodulation; fibre optic sensors; light interferometry; optical noise; optical transfer function; phase noise; digital phase demodulation; fiber optic sensor; interferometry; phase noise; probability density function; transfer function; Analytical models; Computational modeling; Demodulation; Interferometry; Optical fiber sensors; Phase noise; Probability density function; Sensor phenomena and characterization; Signal processing; Transfer functions; Demodulation; fiber-optic sensing; intensity noise; probability density function; statistical profile;
  • fLanguage
    English
  • Journal_Title
    Lightwave Technology, Journal of
  • Publisher
    ieee
  • ISSN
    0733-8724
  • Type

    jour

  • DOI
    10.1109/JLT.2006.889653
  • Filename
    4147762