Estimation of Residual Error Parameters for Vector Network Analyzers
نویسندگان
چکیده
− Recently, a novel approach for the estimation of the residual error parameters of a calibrated vector network analyzer has been proposed. The method is based on a reflection measurement employing a high precision airline terminated by a short. From this measurement the complex valued residual error parameters are calculated utilizing a sophisticated data analysis scheme. In this work the uncertainty associated with the obtained residual error parameters is evaluated. The uncertainty evaluation is performed by applying the GUM S1 approach employing a Monte-Carlo method. Resulting uncertainties arising due to imperfections of the dimensional parameters of the airline are presented.
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