Uncertainty prediction of crosstalk measurement for multi-conductor transmission lines

Deng Liting; Zhong Longquan; Liu Qiang; Sun Zihan; Yan Liping; Zhao Xiang

doi:10.11884/HPLPB202133.210066

Volume 33 Issue 8

Aug. 2021

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Deng Liting, Zhong Longquan, Liu Qiang, et al. Uncertainty prediction of crosstalk measurement for multi-conductor transmission lines[J]. High Power Laser and Particle Beams, 2021, 33: 083002. doi: 10.11884/HPLPB202133.210066

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Deng Liting, Zhong Longquan, Liu Qiang, et al. Uncertainty prediction of crosstalk measurement for multi-conductor transmission lines[J]. High Power Laser and Particle Beams, 2021, 33: 083002. doi: 10.11884/HPLPB202133.210066

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Uncertainty prediction of crosstalk measurement for multi-conductor transmission lines

doi: 10.11884/HPLPB202133.210066

1.
Department of Electronic and Information Engineering, Sichuan University, Chengdu 610065, China
2.
Institute of Applied Electronics, China Academy of Engineering Physics, Mianyang 621900, China
3.
Institute of Applied Physics and Computational Mathematics, Beijing 100088, China

Received Date: 2021-03-05
Rev Recd Date: 2021-07-01

Available Online: 2021-07-21

Publish Date: 2021-08-15

Abstract

Abstract

Sensitivity analysis of cable crosstalk to uncertain parameters is studied using stochastic reduced order model (SROM), and then the uncertainty of cable crosstalk is predicted. To verify the prediction, a three-conductor transmission line (TL) experiment system is established. Both near end and far end crosstalk (NEXT and FEXT) are tested. Then the measurement uncertainty is deduced according to the standard GB/Z 6113.401—2018/CISPR/TR 16-4-1:2009. Comparing the predicted uncertainty to the measured one, it is found that they have the same variation trends with frequency. Moreover, the measured uncertainty is within the range of the prediction. Therefore, the uncertainty prediction using SROM can be applied to predict the test uncertainty, which is instructive to the crosstalk measurement for both analysis model verification and experimental investigation.
- crosstalk experiment,
- stochastic reduced order model (SROM),
- sensitivity,
- uncertainty

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References(22)

References

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