Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Blind Optical Modulation Format Identification Based on Both Intensity and Differential-Phase Density

Not Accessible

Your library or personal account may give you access

Abstract

We demonstrate a machine-learning-assisted modulation format identification scheme using both intensity and differential-phase density information. The identification performance for all formats can be achieved even at OSNR values lower than corresponding theoretical 20% FEC limit.

© 2020 The Author(s)

PDF Article
More Like This
Join Modulation Format Identification and OSNR Monitoring Assisted by Intensity and Differential-Phase Features

Jiacheng Feng, Lianshan Yan, Lin Jiang, Anlin Yi, Yan Pan, Wei Pan, and Bin Luo
M4A.314 Asia Communications and Photonics Conference (ACP) 2020

A Modulation Format Identification Scheme Based on Modified PSO Clustering in Stokes Space

Ruqing Zhao, Hengying Xu, Chenglin Bai, Weibin Sun, Lishan Yang, Xinkuo Yu, Tanglei Zhou, and Baokun Li
M4A.235 Asia Communications and Photonics Conference (ACP) 2020

Modulation Format Identification and Transmission Quality Monitoring for Link Establishment in Optical Network Using Machine Learning Techniques

Jie Hong, Long Chen, Jiao Zhu, Wenhai Zhou, Bo Li, Yongfeng Fu, and Long Wang
M4A.191 Asia Communications and Photonics Conference (ACP) 2020

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.