An Optimal Vector-Network-Analyzer Calibration Algorithm
Dylan F. Williams, Chih-Ming Wang, Uwe Arz
We present an iterative algorithm for calibrating vector network analyzers based on orthogonal distance regression. The algorithm features a robust, yet efficient, search algorithm, a complete error analysis that includes both random and systematic errors, a full covariance matrix relating calibration and measurement errors, and 95% coverage factors, and an easy-to-use user interface that supports a wide variety of calibration standards. We also discuss evidence that the algorithm outperforms the MultiCalR software package in the presence of measurement noise and accurately estimates the uncertainty of its results.
IEEE Transactions on Microwave Theory and Techniques
, Wang, C.
and Arz, U.
An Optimal Vector-Network-Analyzer Calibration Algorithm, IEEE Transactions on Microwave Theory and Techniques, [online], https://doi.org/10.1109/TMTT.2003.819211
(Accessed September 17, 2021)