Nonlinear Neural Network Equalizer for Metro Optical Fiber Communication Systems

Authors

  • Mahmoud M. T. Maghrabi Department of Electrical and Computer Engineering McMaster University, Hamilton, Ontario, L8S 4K1, Canada
  • Shiva Kumar Department of Electrical and Computer Engineering McMaster University, Hamilton, Ontario, L8S 4K1, Canada
  • Mohamed H. Bakr Department of Electrical and Computer Engineering McMaster University, Hamilton, Ontario, L8S 4K1, Canada

Keywords:

Network Equalizer, Metro Optical Fiber Communication Systems

Abstract

We present a neural network-based nonlinear electronic feed-forward equalizer. It compensates for the chromatic dispersion (CD) distortions in fiber optic communication systems with direct photo-detection. The proposed equalizer achieves bit error rate (BER) performance comparable to the maximum-likelihood sequence estimator (MLSE), with significantly lower computational cost. The complexity of the introduced equalizer scales linearly with the length of the intersymbol interference (ISI) as opposed to exponential growth the MLSE complexity.

Downloads

Download data is not yet available.

References

S. Kumar and M. J. Deen, Fiber Optic Communications: Fundamentals and Applications. John Wiley & Sons, 2014.

G. Katz and D. Sadot, “A nonlinear electrical equalizer with decision feedback for OOK optical communication systems,” IEEE Trans. Commun., vol. 56, no. 12, pp. 2002-2006, 2008.

M. Bohn and C. Xia, “Electrical and optical equalization strategies in direct detected high speed transmission systems,” AEU-Int. J. Electron. Commun., vol. 63, no. 7, pp. 526-532, 2009.

T. Foggi, E. Forestieri, G. Colavolpe, and G. Prati, “Maximum-likelihood sequence detection with closed-form metrics in OOK optical systems impaired by GVD and PMD,” J. Lightwave Technol., vol. 24, no. 8, pp. 3073-3087, 2006.

M. Bakr, Nonlinear Optimization in Electrical Engineering with Applications in Matlab. The Institution of Engineering and Technology, London, 2013.

Downloads

Published

2021-07-22

How to Cite

[1]
Mahmoud M. T. Maghrabi, Shiva Kumar, and Mohamed H. Bakr, “Nonlinear Neural Network Equalizer for Metro Optical Fiber Communication Systems”, ACES Journal, vol. 33, no. 10, pp. 1159–1160, Jul. 2021.

Issue

2018: Vol 33 Iss 10

Section

General Submission