Accurate, Fast and Robust Beam Characterization for Fiber Beams Based on Deep Learning
- Resource Type
- Conference
- Authors
- Huang, Liangjin; An, Yi; Li, Jun; Xie, Kun; Leng, Jinyong; Yang, Lijia; Zhou, Pu
- Source
- 2019 18th International Conference on Optical Communications and Networks (ICOCN) Optical Communications and Networks (ICOCN), 2019 18th International Conference on. :1-3 Aug, 2019
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Signal Processing and Analysis
Laser beams
Measurement by laser beam
Optical fiber networks
Deep learning
Correlation
Training
Deep Learning
Beam Characterization
Mode Decomposition
Beam Quality
- Language
Fiber beam characterization based on deep learning, including mode decomposition and M 2 evaluation, has been first-ever demonstrated by simulation and experiment. Deep learning enables not only high accuracy and speed but also high anti-noise ability.