• DocumentCode
    2164992
  • Title

    Monte Carlo simulation for the prediction of the reliability of the receiver

  • Author

    Wang, Yujiao ; Su, Donglin ; Chen, Wenqing

  • Author_Institution
    EMC Lab., Beijing Univ. of Aeronaut. & Astronaut., Beijing
  • fYear
    2008
  • fDate
    2-5 Nov. 2008
  • Firstpage
    1135
  • Lastpage
    1138
  • Abstract
    A statistical analysis approach, Monte Carlo (MC) method, which is applied to predict the reliability of a receiver, is presented in this paper. The model of amplitude modulated communication system is built in ADS. An approximation for the output signal-to-noise of nonlinear receiver system is given when the input consists of a carrier signal modulated and noise. Probabilistic models based on the measurement data for two kinds of noise are derived from Monte Carlo simulations. Statistical results illustrating the applicability of the present work to predict the performance of a communication system are also presented. At last we discuss the advantages and the further applications of MC method.
  • Keywords
    Monte Carlo methods; amplitude modulation; radio receivers; reliability; Monte Carlo simulation; amplitude modulated communication system; carrier signal modulated; nonlinear receiver system; output signal-to-noise; reliability; statistical analysis; Amplitude modulation; Electromagnetic compatibility; Laboratories; Monte Carlo methods; Noise measurement; Receivers; Signal to noise ratio; Statistical analysis; Stochastic processes; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas, Propagation and EM Theory, 2008. ISAPE 2008. 8th International Symposium on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2192-3
  • Electronic_ISBN
    978-1-4244-2193-0
  • Type

    conf

  • DOI
    10.1109/ISAPE.2008.4735425
  • Filename
    4735425