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PUBLICATIONS

Evaluating Uncertainty of Microwave Calibrations with Regression Residuals

Published

Author(s)

Dylan F. Williams, Benjamin F. Jamroz, Jake D. Rezac, Robert D. Jones

Abstract

We present a sensitivity-analysis and a Monte-Carlo algorithm for evaluating the uncertainty of multivariate microwave calibration models with regression residuals. We then use synthetic data to verify the performance of the algorithms and explore their limitations in the presence of correlated errors. The uncertainties we evaluate can be used to estimate the total uncertainty of a calibrated measurement when combined with the prediction intervals for that measurement.
Citation
IEEE Transactions on Microwave Theory and Techniques
Pub Type
Journals

Download Paper

https://doi.org/10.1109/TMTT.2020.2983358
Local Download

Keywords

Confidence intervals, coupling corrections, microwave calibration, on-wafer measurement, uncertainty, prediction intervals.
Wireless (RF)

Citation

Williams, D. , Jamroz, B. , Rezac, J. and Jones, R. (2020), Evaluating Uncertainty of Microwave Calibrations with Regression Residuals, IEEE Transactions on Microwave Theory and Techniques, [online], https://doi.org/10.1109/TMTT.2020.2983358 (Accessed September 17, 2024)

Issues

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Created June 5, 2020, Updated October 9, 2020