深度神经网络辅助二阶微扰非线性补偿

OSA Advanced Photonics Congress 2021 Pub Date : 2021-05-19 DOI:10.1364/sppcom.2021.spf2e.2

O. S. S. Kumar, L. Lampe, S. Luo, Mrinmoy Jana, J. Mitra, Chuandong Li

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引用次数: 2

摘要

本文提出了一种基于深度神经网络和二阶微扰理论的光纤非线性后补偿技术。与线性色散补偿相比，我们在1200公里处对32 Gbaud PDM-64-QAM实现了1 dB的q因子改善。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Deep Neural Network Assisted Second-Order Perturbation-Based Nonlinearity Compensation

We propose a fiber nonlinearity post-compensation technique using the DNN and the second-order perturbation theory. We achieve 1 dB Q-factor improvement for a 32 Gbaud PDM-64-QAM at 1200 km compared to the linear dispersion compensation.

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来源期刊

OSA Advanced Photonics Congress 2021

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