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首页> 外文期刊>AEU: Archiv fur Elektronik und Ubertragungstechnik: Electronic and Communication >Crosstalk analysis at near-end and far-end of the coupled transmission lines based on eigenvector decomposition
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Crosstalk analysis at near-end and far-end of the coupled transmission lines based on eigenvector decomposition

机译:基于特征向量分解的耦合传输线的近端和远端串扰分析

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In this paper, a new analytical method is proposed to accurately estimate the near-end and far-end crosstalk of a coupled Transmission Lines (TLs) based on eigenvector decomposition. For a non-homogenous two coupled lines, the related linear differential equations system (LDES) is derived for distributed voltage and current and then using matrix analysis, its four distinct eigenvalues and their associated eigen-vectors are determined. It is shown that the two eigenvalues represent the self-propagation constant, while the other ones are linked to the mutual propagation constant of the coupled lines. In addition to, for these lines a closed form expression for near-end and far-end crosstalk is presented. In special case of homogenous coupled lines, the LDES is also determined and it is shown that they provide two couples of eigenvalues. Using the concept of generalized eigenvalues, the solution of these systems is derived and a closed form formula is derived for crosstalk. In order to verify the accuracy of the proposed method a few types of coupled lines, including homogeneous or non-homogeneous are investigated and the amount of crosstalk is estimated. The calculated crosstalk is presented and compared with those obtained by numerical investigation. It is shown that a good agreement is obtained between the calculated and measured results. (C) 2019 Elsevier GmbH. All rights reserved.
机译:在本文中,提出了一种新的分析方法,以准确地估计基于特征向量分解的耦合传输线(TLS)的近端和远端串扰。对于非均匀的两种耦合线,导出相关的线性微分方程系统(LDE)用于分布电压和电流,然后使用基质分析,确定其四个不同的特征值及其相关的特征值。结果表明,两个特征值表示自传常数,而另一个特征值与耦合线的相互传播常数连接。除此之外,对于这些线来说,提出了近端和远端串扰的闭合形式表达。在特殊情况下,均匀耦合线,也确定了LDE,并且显示它们提供两对特征值。使用广义特征值的概念,衍生出这些系统的溶液,衍生闭合形式的公式用于串扰。为了验证所提出的方法的准确性,研究了几种类型的偶联线,包括均匀或非均匀,估计串扰的量。呈现计算的串扰,并与通过数值调查获得的串扰进行比较。结果表明,在计算和测量结果之间获得了良好的一致性。 (c)2019年Elsevier GmbH。版权所有。

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