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
Link To Document