Seeing the Modes in Few-Mode Fibers through Deep Learning
- Resource Type
- Conference
- Authors
- An, Yi; Huang, Liangjin; Li, Jun; Leng, Jinyong; Yang, Lijia; Zhou, Pu
- Source
- 2018 Asia Communications and Photonics Conference (ACP) Asia Communications and Photonics Conference (ACP), 2018. :1-3 Oct, 2018
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Photonics and Electrooptics
Signal Processing and Analysis
Optical fiber networks
Laser beams
Optical fibers
Power lasers
Image reconstruction
Laser modes
mode decomposition
few-mode fiber
deep learning
- Language
We have first-ever utilized the deep learning (DL) in mode decomposition (MD) for few-mode fiber (FMF). Both of simulations and experiments have demonstrated that DL is highly effective for accurate and fast MD for FMF.