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Evaluating Uncertainty of Nonlinear Microwave Calibration Models with Regression Residuals



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


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.
IEEE Transactions on Microwave Theory and Techniques


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