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Approach for CM/DM Current Extraction and Crosstalk Analysis of Twisted- Wire Pairs with Random Non-uniform Twisting

机译:CM / DM电流萃取和串扰分析随机不均匀捻线的曲线对

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摘要

In this paper, a twisted-wire pairs (TWP) with random non-uniform twisting is established. It is divided into a complete pitch segment and a noncomplete pitch segment by the ratio between the pitch and the length. The randomness of the actual TWP cable is accurately simulated by the following methods: 1) random combination of complete pitch segments; 2) random combination of non-complete pitch segments; 3) random combination between 1) and 2). Based on the TWP model, an equivalent multi-conductor transmission lines (MTLs) model can be obtained. The neural network algorithm is introduced to describe the complex relationship between the arbitrary position of the TWP and the per-unit-length (p.u.l) parameter matrix. In addition, the crosstalk and the common-mode (CM) and differential-mode (DM) noise under field-to-wire coupling are predicted. The numerical results show that crosstalk and CM/DM noise in TWP cable are susceptible to the twisted pitch at high frequencies. Compared with full-wave simulation, the accuracy of the proposed method is proved.
机译:在本文中,建立了随机不均匀扭曲的双绞线(TWP)。它分为完整的俯仰段和非符合节距段,间距与长度之间的比率。通过以下方法精确模拟实际TWP电缆的随机性:1)完整俯仰段的随机组合; 2)非完整间距段的随机组合; 3)1)和2之间的随机组合。基于TWP模型,可以获得等效的多导体传输线(MTLS)模型。引入神经网络算法以描述TWP和每单位长度(P.U.L)参数矩阵之间的任意位置之间的复杂关系。另外,预测了串扰和公共模式(CM)和差分模式(DM)噪声在基线耦合下。数值结果表明,TWP电缆中的串扰和CM / DM噪声易于高频的扭曲间距。与全波仿真相比,证明了所提出的方法的准确性。

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