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Author:

Zhu, Jiangmiao (Zhu, Jiangmiao.) | Wang, Yifan (Wang, Yifan.) | Zhao, Kejia (Zhao, Kejia.) | Wang, Yidi (Wang, Yidi.) | Fu, Chaoxian (Fu, Chaoxian.) | Man, Kaige (Man, Kaige.)

Indexed by:

EI Scopus SCIE

Abstract:

S-parameters are widely used to detail the scattering parameters of radio frequency (RF) components and microwave circuit modules. The vector network analyzer (VNA) is the most commonly used device for measuring S-parameters. Given the multiple frequency points, complex values, and intricate uncertainty propagation involved, accurately assessing the uncertainty of S-parameter measurements is difficult. In this study, we proposed a new method for assessing S-parameter uncertainty based on the covariance matrices, tracing back to the nominal uncertainty of calibration standards. First, we analyzed the relevant theory of uncertainty assessment using covariance matrices and subsequently deduced the mechanism of Type B uncertainty propagating from calibration standards to error model coefficients and S-parameter measurements to evaluate Type B measurement uncertainty. In this study, a novel measurement system was constructed for measuring grounded coplanar waveguides by using a VNA and calibration standards with 8- and 12-error models. Initially, the model assessed the Type B uncertainty of measuring four S-parameters of a grounded coplanar waveguide. Next, the VNA calibrated with the 12-error model was used to conduct multiple repeated measurements to assess the Type A uncertainty of the grounded coplanar waveguide. Finally, the composite uncertainty was constructed, which demonstrated that the proposed method can be used for assessing the uncertainty of S-parameters.

Keyword:

measurement uncertainty vector network analyzer (VNA) S-parameters covariance matrix

Author Community:

  • [ 1 ] [Zhu, Jiangmiao]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Wang, Yifan]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Wang, Yidi]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Fu, Chaoxian]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Man, Kaige]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Zhao, Kejia]Natl Inst Metrol, Beijing 100029, Peoples R China

Reprint Author's Address:

  • [Zhao, Kejia]Natl Inst Metrol, Beijing 100029, Peoples R China;;

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Source :

SENSORS

Year: 2024

Issue: 11

Volume: 24

3 . 9 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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