• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于光电储能计算的同时调制格式识别与光信噪比监测

Simultaneous modulation format identification and OSNR monitoring based on optoelectronic reservoir computing.

作者信息

Han Mengyao, Wang Muguang, Fan Yuchuan, Cai Shiyi, Guo Yuxiao, Zhang Naihan, Schatz Richard, Popov Sergei, Ozolins Oskars, Pang Xiaodan

出版信息

Opt Express. 2022 Dec 19;30(26):47515-47527. doi: 10.1364/OE.474207.

DOI:10.1364/OE.474207
PMID:36558679
Abstract

An approach for simultaneous modulation format identification (MFI) and optical signal-to-noise ratio (OSNR) monitoring in digital coherent optical communications is proposed based on optoelectronic reservoir computing (RC) and the signal's amplitude histograms (AHs) obtained after the adaptive post-equalization. The optoelectronic RC is implemented using a Mach-Zehnder modulator and optoelectronic delay feedback loop. We investigate the performance of the proposed model with the number of symbols, bins of AHs and the hyperparameters of optoelectronic RC. The results show that 100% MFI accuracy can be achieved simultaneously with accurate OSNR estimation for different modulation formats under study. The lowest achievable OSNR estimation mean absolute errors for the dual-polarization (DP)-quadrature phase-shift keying signal, the DP-16-ary quadrature amplitude modulation (16QAM) signal, and the DP-64QAM signal are 0.2 dB, 0.32 dB and 0.53 dB, respectively. The robustness of the proposed scheme is also evaluated when the optoelectronic RC is in presence of additive white Gaussian noises. Then, a proof of concept experiment is demonstrated to further verify our proposed method. The proposed approach offers a potential solution for next-generation intelligent optical performance monitoring in the physical layer.

摘要

基于光电储层计算(RC)和自适应后均衡后获得的信号幅度直方图(AHs),提出了一种在数字相干光通信中同时进行调制格式识别(MFI)和光信噪比(OSNR)监测的方法。光电RC使用马赫-曾德尔调制器和光电延迟反馈回路实现。我们研究了所提模型在符号数量、AHs的箱数以及光电RC的超参数方面的性能。结果表明,对于所研究的不同调制格式,在准确估计OSNR的同时可实现100%的MFI准确率。对于双偏振(DP)-正交相移键控信号、DP-16进制正交幅度调制(16QAM)信号和DP-64QAM信号,可实现的最低OSNR估计平均绝对误差分别为0.2 dB、0.32 dB和0.53 dB。当光电RC存在加性高斯白噪声时,还评估了所提方案的鲁棒性。然后,进行了概念验证实验以进一步验证我们所提的方法。所提方法为下一代物理层智能光性能监测提供了一种潜在的解决方案。

相似文献

1
Simultaneous modulation format identification and OSNR monitoring based on optoelectronic reservoir computing.基于光电储能计算的同时调制格式识别与光信噪比监测
Opt Express. 2022 Dec 19;30(26):47515-47527. doi: 10.1364/OE.474207.
2
Joint OSNR monitoring and modulation format identification in digital coherent receivers using deep neural networks.利用深度神经网络在数字相干接收机中进行联合光信噪比监测与调制格式识别。
Opt Express. 2017 Jul 24;25(15):17767-17776. doi: 10.1364/OE.25.017767.
3
Modulation format identification and OSNR monitoring using density distributions in Stokes axes for digital coherent receivers.利用数字相干接收机斯托克斯轴上的密度分布进行调制格式识别和光信噪比监测。
Opt Express. 2019 Feb 18;27(4):4471-4479. doi: 10.1364/OE.27.004471.
4
Blind and low-complexity modulation format identification based on signal envelope flatness for autonomous digital coherent receivers.基于信号包络平坦度的自主数字相干接收机盲和低复杂度调制格式识别
Appl Opt. 2022 Jul 10;61(20):5991-5997. doi: 10.1364/AO.457463.
5
Joint Fiber Nonlinear Noise Estimation, OSNR Estimation and Modulation Format Identification Based on Asynchronous Complex Histograms and Deep Learning for Digital Coherent Receivers.基于异步复直方图和深度学习的数字相干接收机联合光纤非线性噪声估计、光信噪比估计及调制格式识别
Sensors (Basel). 2021 Jan 7;21(2):380. doi: 10.3390/s21020380.
6
Modulation format identification assisted by sparse-fast-Fourier-transform for hitless flexible coherent transceivers.用于无冲击灵活相干收发器的基于稀疏快速傅里叶变换辅助的调制格式识别
Opt Express. 2019 Mar 4;27(5):7072-7086. doi: 10.1364/OE.27.007072.
7
Joint multi-parameter optical performance monitoring scheme based on trajectory information for a Stokes vector direct detection system.
Appl Opt. 2022 Mar 1;61(7):1606-1615. doi: 10.1364/AO.449392.
8
Cost-effective and data size-adaptive OPM at intermediated node using convolutional neural network-based image processor.
Opt Express. 2019 Apr 1;27(7):9403-9419. doi: 10.1364/OE.27.009403.
9
Transfer learning simplified multi-task deep neural network for PDM-64QAM optical performance monitoring.用于PDM-64QAM光性能监测的迁移学习简化多任务深度神经网络
Opt Express. 2020 Mar 2;28(5):7607-7617. doi: 10.1364/OE.388491.
10
Joint, accurate and robust optical signal-to- noise ratio and modulation format monitoring scheme using a single Stokes-parameter-based artificial neural network.
Opt Express. 2021 Mar 1;29(5):7276-7287. doi: 10.1364/OE.415138.