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Evaluating Uncertainty of Nonlinear Microwave Calibration Models with Regression Residuals

Published

Author(s)

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

Abstract

We use synthetic data to investigate the performance of a recently developed algorithm that uses regression residuals to evaluate the uncertainty of nonlinear multivariate microwave calibration models. We verify the results with measurements.
Citation
IEEE Transactions on Microwave Theory and Techniques

Keywords

Calibration, measurement, microwave, uncertainty, vector network analyzer
Created September 8, 2020, Updated October 9, 2020