A New Method for Stranded Cable Crosstalk Estimation Based on BAS-BP Neural Network Algorithm Combined with FDTD Method

Authors

  • Q. Q. Liu Department of Electrical and Automation Engineering Nanjing Normal University, Nanjing, 210046, China
  • Y. Zhao Department of Electrical and Automation Engineering Nanjing Normal University, Nanjing, 210046, China
  • C. Huang Department of Electrical and Automation Engineering Nanjing Normal University, Nanjing, 210046, China
  • W. Yan Department of Electrical and Automation Engineering Nanjing Normal University, Nanjing, 210046, China
  • J. M. Zhou Department of Electrical and Automation Engineering Nanjing Normal University, Nanjing, 210046, China

Keywords:

Back propagation (BP) neural network algorithm, Beetle antennae search (BAS) algorithm, Finite difference time domain (FDTD) method, Multiconductor transmission lines (MTL), Stranded cable crosstalk

Abstract

In this paper, based on the research of back propagation (BP) neural network algorithm optimized by the beetle antennae search (BAS) algorithm, a new method for predicting stranded cable crosstalk is proposed. Firstly, the stranded wire model and the equivalent multiconductor transmission lines model are both established. Then, the extraction network of the stranded wire electromagnetic parameter matrix is constructed by using the BAS-BP neural network algorithm. Finally, the network is combined with the finite difference time domain (FDTD) method to solve the near end crosstalk (NEXT) and far end crosstalk (FEXT) of a specific three-core stranded model. The new method has good agreement with the crosstalk results obtained by the electromagnetic field numerical method. The validity of the new method is verified.

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References

J. R. Moser and R. F. Spencer, “Predicting the magnetic fields from a twisted-pair cable,” IEEE Transactions on Electromagnetic Compatibility, vol. 10, no. 3, pp. 324-329, Sept. 1968.

A. Y. Alksne, “Magnetic fields near twisted wires,” IEEE Transactions on Space Electronics and Telemetry, vol. 10, no. 4, pp. 154-158, Dec. 1964.

S. A. Pignari and G. Spadacini, “Plane-wave coupling to a twisted-wire pair above ground,” IEEE Transactions on Electromagnetic Compatibility, vol. 53, no. 2, pp. 508-523, May 2011.

G. Flavia, “Immunity to conducted noise of data transmission along DC power lines involving twisted-wire pairs above ground,” IEEE Transactions on Electromagnetic Compatibility, vol. 55, no. 1, pp. 195-207, Feb. 2013.

S. Grivet-Talocia, “Adaptive transient solution of non-uniform multiconductor transmission lines using wavelets,” IEEE Transactions on Antennas and Propagation, vol. 48, no. 10, pp. 1563-1573, Oct. 2000.

P. Manfredi, D. De Zutter, and D. V. Ginste, “Analysis of non-uniform transmission lines with an iterative and adaptive perturbation technique,” IEEE Transactions on Electromagnetic Compatibility, vol. 58, no. 3, pp. 859-867, June 2016.

G. Spadacini and S. A. Pignari, “Numerical assessment of radiated susceptibility of twisted-wire pairs with random non-uniform twisting,” IEEE Transactions on Electromagnetic Compatibility, vol. 55, no. 5, pp. 956-964, Oct. 2013.

C. Jullien, P. Besnier, M. Dunand, et al., “Advanced modeling of crosstalk between an unshielded twisted pair cable and an unshielded wire above a ground plane,” IEEE Transactions on Electromagnetic Compatibility, vol. 55, no. 1, pp. 183-194, Feb. 2013.

A. Shoory, M. Rubinstein, A. Rubinstein, et al., “Simulated next and fext in twisted wire pair bundles,” in Proc. EMC Europe Symp., York, UK, pp. 266-271, Sept. 2011.

M. Tang and J. Mao, “A precise time-step integration method for transient analysis of lossy non-uniform transmission lines,” IEEE Trans actions on Electromagnetic Compatibility, vol. 50, no. 1, pp. 166-174, Feb. 2018.

S. Dai, A. Z. Elsherbeni, and C. E. Smith, “Non-uniform FDTD formulation for the analysis and reduction of crosstalk on coupled microstrip lines,” Journal of Electromagnetic Waves and Applications, vol. 10, no. 12, pp. 1663-1682, June 1996.

S. J. Liu, “An efficient algorithm for the parameter extraction of multiconductor transmission lines in multilayer dielectric media,” IEEE Antennas and Propagation Society International Symposium, July 2005.

Q. Chen and N. Wong, “A stochastic integral equation method for resistance extraction of conductors with random rough surfaces,” in Proc. IEEE. Int. Symp. on Intelligent Signal Processing and Communications, Tottori, Japan, pp. 411-414, Dec. 2006.

G. Plaza, F. Mesa, and M. Horno, “Quick computation of (C), (L), (G), and (R) matrices of multiconductor and multilayered transmission systems,” IEEE Transactions on Microwave Theory and Techniques, vol. 43, no. 7, pp. 1623-1626, July 1995.

P. Manfredi and F. G. Canavero, “Numerical calculation of polynomial chaos coefficients for stochastic per - unit - length parameters of circular conductors,” IEEE Trans. on Magnet., vol. 50, no. 3, pp. 74-82, Mar. 2014.

T. Rashid, Make Your Own Neural Network. Charleston, USA: Create Space Independent Publishing Platform, 2016.

M. Hassoun, Fundamentals of Artificial Neural Networks. Cambridge, USA: Bradford Book, 2003.

C. Yang, et al., “Analysis on RLCG parameter matrix extraction for multi-core twisted cable based on back propagation neural network algorithm,” IEEE Access, vol. 2, no. 1, pp. 16-19, Aug. 2019.

H. L. Yang, H. C. Lin, and S. Huang, “Forecasting exchange rate using EMD and BPNN optimized by particle swarm optimization,” International Conference on Data Mining and Intelligent Information Technology Applications, Oct. 2011.

T. T. Wang and Q. Liu, “Prediction of storm surge disaster loss based on BAS-BP model,” Marine Environmental Science, vol. 37, no. 3, pp. 457-463, 2018 (in Chinese).

X. Jiang and S. Li, “Beetle antennae search without parameter tuning (BAS-WPT) for multi-objective optimization,” Nov. 2017.

C. D. Taylor and J. P. Castillo, “On the response of a terminated twisted - wire cable excited by a plane-wave electromagnetic field,” IEEE Transactions on Electromagnetic Compatibility, vol. 2, no. 1, pp. 16-19, Feb. 1980.

C. R. Paul, Analysis of Multiconductor Transmission Lines. 2nd ed., New York, USA: Wiley, 1994.

CST Microwave Studio, ver. 2008, Computer Simulation Technology, Framingham, MA, 2008.

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Published

2020-02-01

How to Cite

[1]
Q. Q. Liu, Y. Zhao, C. Huang, W. Yan, and J. M. Zhou, “A New Method for Stranded Cable Crosstalk Estimation Based on BAS-BP Neural Network Algorithm Combined with FDTD Method”, ACES Journal, vol. 35, no. 2, pp. 135–144, Feb. 2020.

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General Submission