Frequency Domain Analysis of Lossy and Non-Uniform Twisted Wire Pair

Sun, Yaxiu; Wang, Jianli; Song, Wen; Xue, Rui

doi:10.1109/access.2019.2912220

Cited by 11 publications

(5 citation statements)

References 14 publications

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“…Based on the cascaded transmission line theory proposed by Reference 20, the non‐uniform MTL is divided into many small segments, with each segment considered as a uniform transmission line, and their physical parameters are represented by p.u.l parameter matrix 21–23 . In Reference 24, the non‐uniform‐media layered connection method (NLCM) is developed to solve the RLCG parameter matrix, predicting the crosstalk between TWP cables. In Reference 25, the equivalent cable bundle method (ECBM) is applied with some improvements to predict the crosstalk within a bundle of twisted‐wire pairs (TWPs) terminated with differential loads.…”

Section: Introductionmentioning

confidence: 99%

Crosstalk analysis of twisted bundle of twisted wire pairs (TBTWPs) and star‐quad cables under the effect of inner and outer excitations

Su,

Gassab,

Zhang

et al. 2023

Int J Numerical Modelling

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In this article, deep neural network (DNN) and chain parameter methods are used to analyze the crosstalk coupling of a star‐quad and a twisted bundle of twisted wire pairs (TBTWP) cables for different excitations, respectively. A DNN is used to extract the per‐unit‐length (p.u.l) resistance, inductance, capacitance, and conductance (RLCG) parameters at any position for the star‐quad and TBTWP cables. The induced common mode (CM) and differential mode (DM) currents due to crosstalk are calculated by combining the obtained RLCG parameters with the chain parameter method. The obtained results show good agreement with that of FEKO software. Moreover, it is found that the star‐quad cable can reduce the external coupling more effectively than that of the TBTWP cable. Finally, measurements are performed to further validate the accuracy of our proposed algorithm.

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Section: Introductionmentioning

confidence: 99%

Crosstalk analysis of twisted bundle of twisted wire pairs (TBTWPs) and star‐quad cables under the effect of inner and outer excitations

Su,

Gassab,

Zhang

et al. 2023

Int J Numerical Modelling

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“…Accounting for wire coating in the modelling of field coupling to twistedwire pairs was performed in [6]. Modelling of twisted pairs usually assumes ideal condition of lossless and uniform media, ignoring the length of the twisted section, these non-idealities were addressed by Sun et al [7]. A new crosstalk estimation method for non-uniform pitch twisted pair was recently proposed in [8].…”

Section: Introductionmentioning

confidence: 99%

Measurement and causal modelling of twisted pair copper cables

Yoho¹,

Riad

Muqaibel

2021

IET Science Measure & Tech

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The modelling of twisted pair copper cables has been under investigation in recent years with the emergence of several forms of digital subscriber line broadband access technology including G.fast. Designers of these communication systems implement these models to prototype early system architectures as well as simulate feasibility trials on the existing subscriber loop infrastructure. Previous attempts at modelling these cables have been limited because of the challenges associated with acquiring physical measurement and the inaccuracies of simulators to model effects such as the skin effect, which is significant when using these cables in high-speed systems. These previous modelling attempts employed empirical formulas to match the measured primary transmission line parameters (RLCG) of the cables and generally failed to meet the Kramer-Kronig causality relationships. This paper presents a measurement setup for the electrical properties of twisted pair copper cables as well as a realizable RLCG model for the cables. This model is based on electromagnetic theory considering the model causality, the skin effect, and the twisting of the cable.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Crosstalk of random cable bundle can be predicted using the cascade method [8], [9]. The traditional method is to solve the crosstalk by the chain parameter matrix method [10], [11]. But the accuracy of this method is not high, and the number of segments is related to the constructed cable bundle model.…”

Section: Introductionmentioning

confidence: 99%

A New Method for Predicting Crosstalk of Random Cable Bundle Based on BAS-BP Neural Network Algorithm

et al. 2020

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Accurate analytical solution for the crosstalk of random cable bundle is difficult to obtain, but the limit of the crosstalk can be predicted. This paper proposes a method to predict the crosstalk of random cable bundle. Based on the idea of cascade method, the model takes into account the random rotation of the cross-section and the random transposition of the core. A neural network algorithm based on back propagation optimized by the beetle antennae search method (BAS-BPNN) is introduced to mathematically describe the random rotation of the cross-section. The elementary row-to-column transformation of the unit length RLCG parameter matrix is used to deal with the random transposition of the core. The discontinuity between segments generated by transposition is solved by introducing transition probability parameters. Finally, combined with the finite-difference time-domain (FDTD) algorithm, the crosstalk of the random cable bundle is obtained. The numerical experimental results show that the new method can reduce a lot of experimental work in the crosstalk problem of random cable bundle, and has higher accuracy and a wider frequency range. INDEX TERMS Crosstalk, random cable bundle, beetle antennae search (BAS) algorithm, back propagation neural network (BPNN) algorithm, finite-difference time-domain (FDTD), multi-conductor transmission lines (MTLs).

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Frequency Domain Analysis of Lossy and Non-Uniform Twisted Wire Pair

Cited by 11 publications

References 14 publications

Crosstalk analysis of twisted bundle of twisted wire pairs (TBTWPs) and star‐quad cables under the effect of inner and outer excitations

Crosstalk analysis of twisted bundle of twisted wire pairs (TBTWPs) and star‐quad cables under the effect of inner and outer excitations

Measurement and causal modelling of twisted pair copper cables

A New Method for Predicting Crosstalk of Random Cable Bundle Based on BAS-BP Neural Network Algorithm

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