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An Optimal Vector-Network-Analyzer Calibration Algorithm



Dylan 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


calibration, microwave, scattering parameters, vector network analyzer


Williams, D. , Wang, C. and Arz, U. (2003), An Optimal Vector-Network-Analyzer Calibration Algorithm, IEEE Transactions on Microwave Theory and Techniques, [online], (Accessed May 25, 2024)


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Created November 30, 2003, Updated October 12, 2021