基于深度学习的相干传输系统预载波相位恢复EVM估计

2021 Conference on Lasers and Electro-Optics (CLEO) Pub Date : 2021-05-01 DOI:10.1364/cleo_si.2021.sth1f.2

Yuchuan Fan, A. Udalcovs, X. Pang, C. Natalino, R. Schatz, M. Furdek, S. Popov, O. Ozolins

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引用次数: 3

摘要

我们利用载波相位恢复(CPR)之前捕获的相干光信号的深度监督学习和幅度直方图，为32 Gbaud mQAM信号监测目的执行时间敏感和准确的误差矢量幅度(EVM)估计。

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 Learning Assisted Pre-Carrier Phase Recovery EVM Estimation for Coherent Transmission Systems

We exploit deep supervised learning and amplitude histograms of coherent optical signals captured before carrier phase recovery (CPR) to perform time-sensitive and accurate error vector magnitude (EVM) estimation for 32 Gbaud mQAM signal monitoring purposes.

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来源期刊

2021 Conference on Lasers and Electro-Optics (CLEO)

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