Nonlinear Distortions Compensation Based on Artificial Neural Networks in Wideband and Multi-Carrier Systems

被引：16

作者：

Liu, Enji ^{[1
]}

Yu, Zhenming ^{[1
]}

Yin, Chunjing ^{[1
]}

Xu, Kun ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Inst Informat Phon & Opt Commun, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China

来源：

IEEE JOURNAL OF QUANTUM ELECTRONICS | 2019年 / 55卷 / 05期

关键词：

Wideband photonics analog links; cross modulation distortion; intermodulation distortions; artificial neural networks; MICROWAVE PHOTONIC LINKS; EQUALIZATION; LINEARIZATION;

D O I：

10.1109/JQE.2019.2936594

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：

Three-order inter-modulation distortions (IMD3) is a tough problem which appears in analog photonics links (APL). In multi-carrier systems, out-band signals will also lead to nonlinear distortion which is referred as cross-modulation distortion (XMD). The two kinds of distortion will jointly limit dynamic range. In this paper, we propose to adopt an artificial neural network (ANN) as the processing approach which could mitigate IMD3 and XMD simultaneously. The IMD3 and XMD are suppressed by 29.76 dB and 22.18 dB respectively in the experiment. Compared with traditional approaches, the proposed method shows better performance and generalization ability.

引用

页数：5

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