• DocumentCode
    1633626
  • Title

    Comparison of various importance sampling schemes for simulating optical systems

  • Author

    Lee, Damien A. ; Letaief, Khaled

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
  • fYear
    1992
  • Firstpage
    360
  • Abstract
    Importance sampling (IS) is a statistical simulation technique for increasing the efficiency of traditional Monte Carlo methods when used to estimate low probability events. Importance sampling is applied to the simulation of optical communication systems. Three specific IIS schemes for the simulation of an optical receiver are reported. The efficiency and accuracy of these methods are demonstrated by the presentation of various numerical results for different combinations of parameters
  • Keywords
    Monte Carlo methods; optical receivers; statistical analysis; Monte Carlo methods; importance sampling schemes; optical receiver; optical systems simulation; statistical simulation; AWGN; Additive white noise; Discrete event simulation; Gaussian noise; Histograms; Monte Carlo methods; Optical fiber communication; Optical noise; Optical receivers; Probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '92. ''Technology Enabling Tomorrow : Computers, Communications and Automation towards the 21st Century.' 1992 IEEE Region 10 International Conference.
  • Conference_Location
    Melbourne, Vic.
  • Print_ISBN
    0-7803-0849-2
  • Type

    conf

  • DOI
    10.1109/TENCON.1992.271923
  • Filename
    271923