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Deep Learning: Deep Learning Based Recognition of Different Mode Bases in Ring‐Core Fiber (Laser Photonics Rev. 14(11)/2020)
Author(s) -
Wang Lulu,
Ruan Zhengsen,
Wang Hongya,
Shen Lei,
Zhang Lei,
Luo Jie,
Wang Jian
Publication year - 2020
Publication title -
laser and photonics reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.778
H-Index - 116
eISSN - 1863-8899
pISSN - 1863-8880
DOI - 10.1002/lpor.202070061
Subject(s) - mode (computer interface) , core (optical fiber) , deep learning , convolutional neural network , photonics , computer science , artificial intelligence , optical fiber , ring (chemistry) , physics , optics , chemistry , organic chemistry , operating system
In article number 2000249, Jian Wang and co‐workers show the intelligent recognition of various spatial mode bases by convolutional neural network (CNN)‐based deep learning. Four mode bases in a ring‐core fiber, i.e. linearly polarized mode group, linearly polarized orbital angular momentum (OAM) mode group, circularly polarized OAM mode group, and vector mode group, are successfully recognized with high recognition rate. This may open a door for deep learning enabled robust and intelligent optical communications exploiting diverse spatial modes for sustainable capacity scaling.