Intra and inter-channel nonlinearity compensation in WDM coherent optical OFDM using artificial neural network based nonlinear equalization

被引：0

作者：

Giacoumidis, Elias ^{[1
]}

Mhatli, Sofien ^{[2
]}

Wei, Jinlong ^{[3
]}

Le, Son T. ^{[4
]}

Aldaya, Ivan ^{[5
]}

Stephens, Marc F. C. ^{[4
]}

MacCarthy, Mary E. ^{[4
]}

Ellis, Andrew D. ^{[4
]}

Doran, Nick J. ^{[4
]}

Eggleton, Benjamin J. ^{[1
]}

机构：

[1] Univ Sydney, Ctr Ultra High Bandwidth Opt Syst CUDOS, Phys Rd, Sydney, NSW 2006, Australia

[2] EPT Univ Carthage, SERCOM Lab, Tunis 2078, Tunisia

[3] Huawei Duesseldorf GmbH, European Res Ctr, Riesstr 25, D-80992 Munich, Germany

[4] Aston Univ, AIPT, Birmingham B4 7ET, W Midlands, England

[5] Univ Estadual Campinas, Phys Inst, BR-777 Campinas, SP, Brazil

来源：

2017 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC) | 2017年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Nonlinear effects are experimentally tackled, for the first time, in WDM-CO-OFDM by an artificial neural network (ANN)-based equalizer at 3200 km. For the middle 20-Gb/s channel ANN outperforms to Volterra-based equalization by similar to 2-dB in Q-factor. (C) 2017 Optical Society of America

引用

页数：3

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