Uncertainty Assessment of S-Parameters in Vector Network Analyzers Under De-Embedding Conditions

This study proposes a method to quantify uncertainty in the scattering parameter (S-parameter) measurements when using de-embedding techniques. After calibrating the measurement setup with reference standards, de-embedding algorithms are employed to extract the intrinsic S-parameter of the device under test (DUT). This process introduces additional complexity to the uncertainty analysis. This study investigates the sources of uncertainty inherent to vector network analyzer (VNA) measurements. Subsequently, a covariance matrix-based approach is employed to propagate these uncertainties, culminating in the quantification of S-parameter uncertainty. The effectiveness of the proposed is determined by comparing the measured S-parameters of power dividers and couplers to their nominal values, considering parameters such as balance, coupling, and voltage standing wave ratio (VSWR). Additionally, an uncertainty analysis is conducted for the power divider’s S-parameters, tracing the uncertainty sources back to the calibration standards.

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Publication Details

Journal
Metrology
Published
2026-03-11
DOI
https://doi.org/10.3390/metrology6010020
Primary Topic
Microwave and Dielectric Measurement Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Uncertainty Assessment of S-Parameters in Vector Network Analyzers Under De-Embedding Conditions

Kaige Man, Chaoxian Fu, Jiangmiao Zhu, Yifan Wang et al.
Metrology
Microwave and Dielectric Measurement Techniques
article

Uncertainty Assessment of S-Parameters in Vector Network Analyzers Under De-Embedding Conditions

Kaige Man, Chaoxian Fu, Jiangmiao Zhu, Yifan Wang, Kejia Zhao
article en

Abstract

This study proposes a method to quantify uncertainty in the scattering parameter (S-parameter) measurements when using de-embedding techniques. After calibrating the measurement setup with reference standards, de-embedding algorithms are employed to extract the intrinsic S-parameter of the device under test (DUT). This process introduces additional complexity to the uncertainty analysis. This study investigates the sources of uncertainty inherent to vector network analyzer (VNA) measurements. Subsequently, a covariance matrix-based approach is employed to propagate these uncertainties, culminating in the quantification of S-parameter uncertainty. The effectiveness of the proposed is determined by comparing the measured S-parameters of power dividers and couplers to their nominal values, considering parameters such as balance, coupling, and voltage standing wave ratio (VSWR). Additionally, an uncertainty analysis is conducted for the power divider’s S-parameters, tracing the uncertainty sources back to the calibration standards.

MetrologyVol. 6(1)
National Institute of Metrology (CN), Beijing Information Science & Technology University (CN), University of Science and Technology Beijing (CN)
Beijing University of Technology, National Institute of Metrology, China, National Key Research and Development Program of China
Openalex Percentile: Top 23%
Microwave and Dielectric Measurement Techniques
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