Simultaneous baud rate/modulation format identification and multi-parameter optical performance monitoring using multi-task learning with enhanced picture of Radon transform

Zhou Tanglei; Xu Hengying; Bai ChenglinYang LishanSun WeibinYu XinkuoGe PeiyunLi BaokunZhao RuqingTang XueWang ZhiguoQin Peng

首页> 外文期刊>Optical fiber technology >Simultaneous baud rate/modulation format identification and multi-parameter optical performance monitoring using multi-task learning with enhanced picture of Radon transform

【24h】

Simultaneous baud rate/modulation format identification and multi-parameter optical performance monitoring using multi-task learning with enhanced picture of Radon transform

机译：Simultaneous baud rate/modulation format identification and multi-parameter optical performance monitoring using multi-task learning with enhanced picture of Radon transform

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

We propose a simultaneous baud rate identification (BRI), modulation format identification (MFI) and multi-parameter optical performance monitoring (OPM) scheme for elastic optical networks (EONs). Firstly, based on the advantage that enhanced picture of Radon transform (EPRT) contains more phase, amplitude, and density information of signals, the proposed scheme takes EPRT, which is obtained from the original constellation di-agram of EON signals after pretreatment of grayscale processing, edge detection and Radon transform, as the key feature for signal parameter identification and monitoring. Subsequently, the EPRTs are fed into a multi-task learning (MTL) neural network to perform BRI, MFI, chromatic dispersion identification (CDI), differential group delay (DGD) monitoring and optical signal-to-noise ratio (OSNR) estimation simultaneously. The nu-merical results of 14/28 GBaud polarization division multiplexing (PDM)-EON transmission system demonstrate that the accuracies of BRI, MFI and CDI could achieve almost 100% after 105 epochs, 114 epochs and 174 epochs respectively. For the task of OSNR estimation, its mean absolute errors (MAE) converges to 0.468 dB after 187 epochs, and the MAE of DGD monitoring is stable at 0.021 times symbol period after 170 epochs. Furthermore, the effectiveness of the proposed scheme is further verified by 14/28 GBaud PDM-EON proof-of-concept experimental system. The results manifest that the MFI and BRI accuracy achieve almost 100% after 118 epochs and 175 epochs, respectively. For the OSNR estimation task, its MAE converges to 0.542 dB after 200 epochs.

著录项

来源
《Optical fiber technology》 |2022年第5期|1.1-1.10|共10页
作者
Zhou Tanglei; Xu Hengying; Bai ChenglinYang LishanSun WeibinYu XinkuoGe PeiyunLi BaokunZhao RuqingTang XueWang ZhiguoQin Peng;
展开▼
作者单位

Liaocheng Univ;

Liaocheng Univ||Shandong Prov Key Lab Opt Commun Sci & Technol;

Shandong Prov Key Lab Opt Commun Sci & Technol;

展开▼
收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类
关键词
Baud rate; modulation format identification; Optical performance monitoring; Enhanced picture of Radon transform; Multi -task learning; Elastic optical network;

Simultaneous baud rate/modulation format identification and multi-parameter optical performance monitoring using multi-task learning with enhanced picture of Radon transform

摘要

著录项

相关主题

期刊订阅