Crosstalk simulation of multiple insulated twisted pairs based on transmission line theory

In the study of the frequency domain crosstalk for twisted pair, the traditional alternating inversion model is often built under the ideal condition of lossless and uniform media, ignoring the length of the twisted section. This paper focuses on the impact of these non-ideal conditions on crosstalk, applying the cascaded transmission line theory of Paul and McKnight to predict near-end crosstalk (NEXT) of two pairs of twisted wire pair (TWP) which are placed above a perfectly conducting ground or in a cylindrical ideal conductive shell. This paper put forward the non-uniform-media layered connection method (NLCM) to solve the parasitic parameter matrix, taking two layers as an example. Based on the deduced chain parameter matrix and boundary conditions, the exact crosstalk solution is obtained. All theories in this paper are of great significance to the EMC design of high-speed data transmission systems, providing the theoretical support for predicting NEXT within each device or system.INDEX TERMS Crosstalk, frequency domain analysis, non-uniform-media layered connection method (NLCM), transmission lines, twisted wire pair (TWP).

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“…The paper [3] and [17] uses the same definition, based on the assumption that the twist occurs at zero distance.…”

Section: A Chain Parameter Matrix Solutionmentioning

confidence: 99%

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

et al. 2019

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“…However, the crosstalk prediction of TWP is difficult by using the traditional method, due to their periodic and non‐uniform structure, which generates nonconstant per‐unit‐length (p.u.l) resistance, inductance, capacitance and conductance (RLCG) parameters along the transmission line cable 14,15 . Therefore, the research on crosstalk effects in multi‐twisted structures is very useful for real applications 16 . In Reference 17, the transmission line model of a TWP and bundles of TWPs in free space excited by a plane line was examined by Armenta and Sarris.…”

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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“…As a common type of transmission line, TWP is of great significance to the analysis of its crosstalk [4]. For parallel transmission lines, its crosstalk value can be achieved by directly solving the telegraph equation.…”

Section: Introductionmentioning

confidence: 99%

Crosstalk Prediction in Twisted-Wire Pairs Based on Beetle Swarm Optimization Algorithm

Xiao

Zhou

Liu³

et al. 2021

IEEE Access

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In this paper, a new algorithm for predicting per unit length (p.u.l) parasitic parameters of transmission line is proposed. In the twisted-wire pair (TWP), different rotation degrees correspond to different parasitic parameters, which brings difficulties to the solution of telegraph equation. At present, the mainstream method is to divide TWP and use the cascade theory to solve each segment as a parallel transmission line. Therefore, we propose to use the beetle swarm optimization (BSO) algorithm to optimize the weights of the back propagation neural network, use a certain sample to train the network. This algorithm is used to predict the p.u.l parameters of uniform and non-uniform TWP, and the finite-difference time-domain (FDTD) method is used to solve telegraph equation. Among them, the crosstalk value of the uniform TWP is compared with the simulation value in the CST to verify the effectiveness of the proposed algorithm; the non-uniform TWP performs 500 random generation calculations to give the maximum envelope value of the crosstalk.INDEX TERMS Beetle swarm optimization (BSO), crosstalk prediction, finite-difference time-domain (FDTD), multiconductor transmission lines (MTL).

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Crosstalk simulation of multiple insulated twisted pairs based on transmission line theory

Cited by 6 publications

References 4 publications

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

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

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

Crosstalk Prediction in Twisted-Wire Pairs Based on Beetle Swarm Optimization Algorithm

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