Evaluating Uncertainty of Nonlinear Microwave Calibration Models with Regression Residuals

We investigate the performance of a recently developed algorithm that evaluates the uncertainty of nonlinear multivariate microwave calibration models using regression residuals. We apply the algorithm to synthetic data consisting of both random and systematic errors and show that the algorithm can...

Description complète

Détails bibliographiques
Publié dans:IEEE transactions on microwave theory and techniques. - 1998. - 68(2020), 9 vom: 17. Sept.
Auteur principal: Williams, Dylan (Auteur)
Autres auteurs: Jamroz, Benjamin, Rezac, Jacob D
Format: Article en ligne
Langue:English
Publié: 2020
Accès à la collection:IEEE transactions on microwave theory and techniques
Sujets:Journal Article Calibration measurement microwave uncertainty vector network analyzer