• DocumentCode
    229445
  • Title

    Adaptive estimation of complex calibration residual errors of wafer-level S-parameters measurement system

  • Author

    Savin, Aleksandr A. ; Guba, Vladimir G. ; Rumiantsev, Andrej ; Maxson, Benjamin D. ; Schubert, Dirk ; Arz, Uwe

  • Author_Institution
    Tomsk State Univ. of Control Syst. & Radioelectron., Tomsk, Russia
  • fYear
    2014
  • fDate
    4-5 Dec. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This article presents a method for determining complex residual errors of calibrated two-port vector network analyzers. It utilizes the time-domain technique. Calibration residual errors are extracted from a distance-frequency system model using a special estimation algorithm based on the quasioptimal unscented Kalman filter. Because the method requires only three measurement conditions, it is in particular beneficial for on-wafer applications, as three test conditions can be obtained from using only one transmission line. Moreover, the length of the line can be relatively short. Experimental studies were performed and verified the proposed method.
  • Keywords
    Kalman filters; S-parameters; adaptive estimation; calibration; measurement errors; network analysers; nonlinear filters; time-domain analysis; transmission lines; adaptive estimation; complex calibration residual errors determination; distance-frequency system model; on-wafer applications; quasi-optimal unscented Kalman filter; special estimation algorithm; time-domain technique; transmission line; two-port vector network analyzer calibration; wafer level S-parameters measurement system; Calibration; Estimation; Measurement uncertainty; Reflection; Semiconductor device measurement; Time-domain analysis; Transmission line measurements; S-parameters; on-wafer measurements; residual errors; unscented Kalman filter (UKF); vector network analyzer (VNA); verification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Measurement Conference (ARFTG), 2014 84th ARFTG
  • Conference_Location
    Boulder, CO
  • Type

    conf

  • DOI
    10.1109/ARFTG.2014.7013410
  • Filename
    7013410