2023
DOI: 10.1109/tim.2023.3296123
|View full text |Cite
|
Sign up to set email alerts
|

Propagation of Linear Uncertainties Through Multiline Thru-Reflect-Line Calibration

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
11
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5
1

Relationship

4
2

Authors

Journals

citations
Cited by 9 publications
(11 citation statements)
references
References 29 publications
0
11
0
Order By: Relevance
“…The data were processed offline in Python using the package scikit-rf [37]. The multiline TRL algorithm used is based on [38], and the uncertainty propagation through the calibration is based on the approach of [39], [40].…”
Section: B Results and Discussionmentioning
confidence: 99%
“…The data were processed offline in Python using the package scikit-rf [37]. The multiline TRL algorithm used is based on [38], and the uncertainty propagation through the calibration is based on the approach of [39], [40].…”
Section: B Results and Discussionmentioning
confidence: 99%
“…By composing (10) with (9), we obtain a new Möbius transformation that describes the input reflection coefficient from the left port using measurements of the right port. This relationship can be written as follows:…”
Section: Calibration Planementioning
confidence: 99%
“…To emulate an on-wafer setup accurately, we utilize error boxes from an actual on-wafer setup that was extracted using multiline TRL calibration on an ISS kit. Details on the measurement setup can be found in [10], where the accuracy of the CPW model was tested, and the measurement datasets are available via [32]. In this numerical setting, the objective is to generate SRM standards based on the CPW model and embed them in the error boxes of the actual VNA setup, introducing different randomness at each iteration to perform the MC analysis.…”
Section: B Statistical Numerical Analysismentioning
confidence: 99%
See 2 more Smart Citations