NDLI: A novel support vector machine robust model based electrical equaliser for coherent optical orthogonal frequency division multiplexing systems

Content Provider	IET Digital Library
Author	Mhatli, Sofien Mrabet, Hichem Dayoub, Iyad Giacoumidis, Elias
Abstract	Classifiers, such as artificial neural networks non-linear equaliser (ANN-NLE), Wiener–Hammerstein non-linear equaliser, Volterra non-linear equaliser (Volterra-NLE) and support vector machine non-linear equaliser (SVM-NLE), can play a significant role in compensating non-linear imperfections in the optical communications context. Using classifiers to mitigate the non-linear effects in coherent optical orthogonal frequency division multiplexing (CO-OFDM) systems is an interesting idea to be investigated. In this study, a novel support vector machine robust version, specifically adapted to a 100 Gb/s CO-OFDM data structure for long haul distance, is proposed. Firstly, the authors demonstrate that SVM-NLE upgrades the system performance by about 10−1 in terms of bit-error rate compared to Volterra-NLE at optical signal-to-noise ratio equal to 14 dB. Then, they show that it can double the transmission distance up to 1600 km over single mode fibre channel. Furthermore, a performance comparison is performed using 16 quadrature amplitude modulation and 40 Gb/s bit rate for SVM-NLE, ANN-NLE and inverse Volterra series transfer function non-linear equaliser, respectively.
Starting Page	1091
Ending Page	1096
Page Count	6
ISSN	17518628
Volume Number	11
e-ISSN	17518636
Issue Number	Issue 7, May (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/11/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2016.1115
Journal	IET Communications
Publisher Date	2017-01-23
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Artificial Neural Network Non-linear Equaliser Bit-error Rate CO-OFDM Data Structure Coherent Optical Orthogonal Frequency Division Multiplexing System Communication Channel Equalisation And Identification Communication Computing Electrical Equaliser Equaliser Error Statistics Knowledge Engineering Technique Modulation And Coding Method Neural Computing Technique Neural Nets Nonlinear Effect OFDM Modulation Optical Communication Optical Signal-to-noise Ratio Quadrature Amplitude Modulation Single Mode Fibre Channel Statistics Support Vector Machine Support Vector Machine Nonlinear Equaliser Support Vector Machine Robust Model SVM-NLE Telecommunication Computing Volterra Nonlinear Equaliser Volterra Series Transfer Function Nonlinear Equaliser Volterra-NLE Wiener–Hammerstein Non-linear Equaliser
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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