Academic Journal of Engineering and Technology Science, 2022, 5(12); doi: 10.25236/AJETS.2022.051204.
Zhou Chen1, Jiafei Ding1, Mingyuan He1, Weichen Gu2, Wu Zhang1
1Nanjing Normal University, Nanjing, Jiangsu, 210023, China
2Guoneng Jiangsu New Energy Technology Development Co., Ltd, Nanjing, 210000, China
In this paper, for the crosstalk error problem of multi-core stranded wires caused by non-uniform pitch, the Monte Carlo method is used to establish the probability distribution model of non-uniform pitch of stranded wires. For stranded wire crosstalk prediction, a transmission line pa-rameter prediction model is constructed using the BSO-BP neural network algorithm, and the effec-tiveness of the algorithm in this paper is verified by simulation. The final calculation gives the statis-tical characteristics of crosstalk on multicore stranded wires.
Crosstalk, Neural networks, EMI, Finite time domain difference method
Zhou Chen, Jiafei Ding, Mingyuan He, Weichen Gu, Wu Zhang. Crosstalk prediction and statistical properties of transmission line. Academic Journal of Engineering and Technology Science (2022) Vol. 5, Issue 12: 26-33. https://doi.org/10.25236/AJETS.2022.051204.
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