A Novel Crosstalk Estimation Method for Twist Non-Uniformity in Twisted-Wire Pairs
Open Access
- 24 February 2020
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 8, 38318-38326
- https://doi.org/10.1109/access.2020.2976136
Abstract
Based on the research of Monte Carlo (MC) method and adaptive beetle antennae search (ABAS) algorithm, a new crosstalk estimation method for non-uniform pitch twisted pair is proposed in this paper. First, the model of non-uniform pitch twisted pair is established based on the principle of twisted pair production. Then, the MC method and ABAS-BPNN (back propagation neural network) algorithm are used to construct a parasitic parameter mean extraction network for non-uniform pitch twisted pairs. Finally, the network is combined with the finite difference time domain (FDTD) algorithm to predict crosstalk. In the verification and analysis part of the numerical experiments, on the one hand, the ABAS-BPNN algorithm model is compared with the basic BAS-BPNN algorithm model, the BPNN algorithm model and the GA (genetic algorithm) -BPNN algorithm model, verifying the accuracy and efficiency of the improved BAS-BPNN algorithm. On the other hand, the validity and applicability of the proposed method in crosstalk prediction for non-uniform pitch twisted pair are verified by comparison with the results of the transmission line matrix (TLM) algorithm.Keywords
Funding Information
- National Natural Science Foundation of China (51475246)
- Natural Science Foundation of Jiangsu Province (BK20161019)
- Aviation Science Foundation (20172552017)
- Key Project of Social Development in Jiangsu Province (BE2019716)
- Nanjing International Industrial Technology Research and Development Cooperation Project (201911021)
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