Fiber Nonlinearity Equalizer Based on Support Vector Classification for Coherent Optical OFDM

Fiber Nonlinearity Equalizer Based on Support Vector Classification for Coherent Optical OFDM

A support vector machine (SVM)-based classification nonlinear equalizer (NLE) is demonstrated, for the first time, in coherent optical orthogonal frequency-division multiplexing (CO-OFDM). For a 40-Gb/s 16 quadrature amplitude modulated (16QAM) CO-OFDM system at 400 km of transmission, SVM-NLE reduc...

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Bibliographic Details
Main Authors: Tu Nguyen, Sofien Mhatli, Elias Giacoumidis, Ludo Van Compernolle, Marc Wuilpart, Patrice Megret
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Photonics Journal
Subjects:
Support vector machine
fiber nonlinearity equalizer
artificial neural network
Online Access:https://ieeexplore.ieee.org/document/7404238/
Description
Summary:A support vector machine (SVM)-based classification nonlinear equalizer (NLE) is demonstrated, for the first time, in coherent optical orthogonal frequency-division multiplexing (CO-OFDM). For a 40-Gb/s 16 quadrature amplitude modulated (16QAM) CO-OFDM system at 400 km of transmission, SVM-NLE reduces the fiber-induced nonlinearity penalty by about 1 dB in comparison to the benchmark artificial-neural-network (ANN)-based and inverse-Volterra-series-transfer-function-based NLEs.
ISSN:1943-0655

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