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A New Method for Predicting Crosstalk of Hand-Assembled Cable Bundles

机译：预测手工组装电缆束串扰的新方法

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摘要

Hand-assembled cable bundles are random harness whose crosstalk is difficult to obtain accurately. A crosstalk prediction method of hand-assembled cable bundles is proposed in this paper. The harness is modeled by means of the mean pseudo-random number based on the cascade method. The factors considered in the model include the random exchange of wires position in the wiring harness cross section and the random rotation of the cross section to the ground. A mathematical description of the random exchange of wires position is made by using the row and column transformation of the per unit length RLCG parameter matrix. BP neural network with strong nonlinear mapping ability is introduced to describe the random rotation of wiring harness to the ground. Combined with the finite-difference time-domain (FDTD) method, the crosstalk of the wiring harness is predicted. Experimental results show that the new method has good accuracy in predicting crosstalk of hand-assembled cable bundles. The higher the twisting degree of the wiring harness is, the more concentrated the crosstalk is.
机译：手工组装的电缆束是随机的线束，其串扰很难准确获得。提出了一种手工组装电缆束的串扰预测方法。利用基于级联方法的平均伪随机数对线束建模。模型中考虑的因素包括线束横截面中电线位置的随机交换和横截面相对于地面的随机旋转。通过使用每单位长度RLCG参数矩阵的行和列变换，对导线位置的随机交换进行数学描述。引入具有强大非线性映射能力的BP神经网络来描述线束对地面的随机旋转。结合时域有限差分（FDTD）方法，可以预测线束的串扰。实验结果表明，该方法在预测手工组装电缆束的串扰方面具有良好的准确性。线束的扭曲度越高，串扰越集中。

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