Influence of non‐ideal line‐reflect‐match calibration standards on vector network analyzer S‐parameter measurements

Author:

Zhao Wei1ORCID,Cheng Chunyue2,Yang Chao3,Xiao Jiankang1,Wang Yibang4,Huo Ye4

Affiliation:

1. Key Laboratory of Electronic Equipment Structure Design Ministry of Education Xidian University Xi'an China

2. Science and Technology on Metrology and Calibration Laboratory Beijing Institute of Radio Metrology and Measurement Beijing China

3. School of Science Xi'an University of Posts and Telecommunications Xi'an China

4. Department of Metrology and Maintenance Hebei Semiconductor Research Institute Shijiazhuang China

Abstract

AbstractIn this paper, an improved two‐step method is presented for the sensitivity analysis of vector network analyzer (VNA) S‐parameter measurements due to the non‐ideal line‐reflect‐match (LRM) calibration standards. This improved method is based on the indirect uncertainty propagation mechanism, which is especially suitable for the S‐parameter measurements applying the self‐calibration technique. To further simplify the formula derivation, the deviation matrices [δA] and [δB] are newly defined to represent the uncertainties of the T‐matrices of error boxes. With this definition, formulas for the deviations of device under test (DUT) S‐parameters can be concluded as functions of [δA] and [δB] in a concise form. Eventually, by solving only three linear combinations of the elements from [δA] and [δB], the sensitivity coefficients of DUT S‐parameters due to non‐ideal LRM can be conveniently deduced in an analytical form. Finally, experiments are performed to verify the proposed method.

Funder

National Natural Science Foundation of China

National Basic Research Program of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Modeling and Direct Extraction of Parameters for GaAs HBT Small- Signal Equivalent Circuit;IEICE Electronics Express;2024

2. A Novel Reformulation of LNN Calibration Algorithm;IEEE Transactions on Instrumentation and Measurement;2023

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