University of Hertfordshire

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Artificial Neural Network Nonlinear Equalizer for Coherent Optical OFDM

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Original languageEnglish
Pages (from-to)387-390
Number of pages4
JournalIEEE Photonics Technology Letters
Publication statusPublished - 15 Feb 2015


We propose a novel low-complexity artificial neural
network (ANN)-based nonlinear equalizer (NLE) for coherent
optical orthogonal frequency-division multiplexing (CO-OFDM)
and compare it with the recent inverse Volterra-series transfer
function (IVSTF)-based NLE over up to 1000 km of uncompensated
links. Demonstration of ANN-NLE at 80-Gb/s CO-OFDM
using 16-quadrature amplitude modulation reveals a Q-factor
improvement after 1000-km transmission of 3 and 1 dB with
respect to the linear equalization and IVSTF-NLE, respectively.


Mutsam A. Jarajreh, et al, 'Artificial Neural Network Nonlinear Equalizer for Coherent Optical OFDM', IEEE Photonics Technology Letters, Vol. 27 (4), February 2015, available online at:

ID: 10586169