• DocumentCode
    630163
  • Title

    Noise partition in S-parameter measurement

  • Author

    Marinov, Oginan

  • Author_Institution
    Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
  • fYear
    2013
  • fDate
    24-28 June 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The noise in vector network analyzer (VNA) and time domain reflectometer (TDR) is analyzed from perspective principle of operation and instrument hardware, complementing the metrological and black-box modeling, which use phenomenological input for the noise. The analyses and experiments confirm a noise partition in the S-parameter measurement. The partition is between noise from signal generator and measurement, and between low-frequency plateau and quadratic elevation in the noise spectra at high frequency. The noise scales with the thermal noise in an effective noise bandwidth, signal power and power loss. The noise partition is an input for other models, providing for scaling of the random error with measurement settings, frequency and S-parameter values.
  • Keywords
    S-parameters; electromagnetic wave scattering; noise measurement; radiofrequency measurement; reflectometers; signal generators; thermal noise; S-parameter measurement; TDR; VNA; black-box modeling; instrument hardware; low-frequency plateau; metrological modeling; noise partition; noise spectra; phenomenological input; power loss; quadratic elevation; signal generator; signal power; thermal noise; time domain reflectometer; vector network analyzer; Bandwidth; Frequency measurement; Noise; Noise measurement; Scattering parameters; Time measurement; Transmission line measurements; Noise in scattering parameters; S-parameters; TDR; VNA; time-domain reflectometer; vector network analyzer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Noise and Fluctuations (ICNF), 2013 22nd International Conference on
  • Conference_Location
    Montpellier
  • Print_ISBN
    978-1-4799-0668-0
  • Type

    conf

  • DOI
    10.1109/ICNF.2013.6578892
  • Filename
    6578892