Artificial Neural Network Nonlinear Equalizer for Coherent Optical OFDM

Jarajreh, Mutsam Abdel-karim, Giacoumidis, Elias, Aldaya, Ivan, Le, Son Thai, Tsokanos, Athanasios, Ghassemlooy, Zabih and Doran, Nick (2014) Artificial Neural Network Nonlinear Equalizer for Coherent Optical OFDM. IEEE Photonics Technology Letters, 27 (4). pp. 387-390. ISSN 1041-1135

Full text not available from this repository. (Request a copy)
Official URL: http://dx.doi.org/10.1109/LPT.2014.2375960

Abstract

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.

Item Type: Article
Uncontrolled Keywords: Coherent optical fiber transmission; Functional link artificial neural networks; Nonlinear equalizer; OFDM; Optical communication
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Paul Burns
Date Deposited: 06 Feb 2015 13:06
Last Modified: 12 Oct 2019 19:20
URI: http://nrl.northumbria.ac.uk/id/eprint/21318

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics