• DocumentCode
    1248958
  • Title

    Finding the Probability Distribution Functions of S -Parameters and Their Monte Carlo Simulation

  • Author

    Agili, Sedig S. ; Morales, Aldo W. ; Li, Ji ; Resso, Michael

  • Author_Institution
    Dept. of Electr. Eng., Pennsylvania State Univ. at Harrisburg, Middletown, PA, USA
  • Volume
    61
  • Issue
    11
  • fYear
    2012
  • Firstpage
    2993
  • Lastpage
    3002
  • Abstract
    This paper presents the probability distribution function (PDF) of the ratio of two random waves. This result is used to obtain the PDF of S-parameters random errors in magnitude (in decibels) and phase, which are the quantities that most engineers work with. These results are further used on the development of a Monte Carlo simulation method in order to predict the variability of frequency-domain measurements. Experiments are performed to identify and characterize frequency-domain random errors, such as instrument noise, connector repeatability, and calibration variations, in measurement systems. By comparing with real measurement data, it is shown that random-error effects can be accurately estimated by the PDF´s obtained and the Monte Carlo technique.
  • Keywords
    Monte Carlo methods; S-parameters; calibration; frequency-domain analysis; measurement uncertainty; network analysers; probability; Monte Carlo simulation; S-parameters; calibration variations; connector repeatability; frequency-domain measurements; frequency-domain random errors; instrument noise; probability distribution functions; random waves; Calibration; Frequency measurement; Measurement uncertainty; Monte Carlo methods; Probability distribution; Random variables; Uncertainty; Frequency-domain measurements; Monte Carlo method; probability distribution function (PDF); random errors; uncertainty; vector network analyzer (VNA);
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2012.2202165
  • Filename
    6246705