MMF-based polarization state measurement system with temperature resistance
- Resource Type
- Conference
- Authors
- Xiong, Yuxuan; Jiang, Ting; Ge, Zhao; Wu, Hao; Zhou, Shaojun; Gao, Zheng; Zhou, Jiajun; Tang, Ming
- Source
- 2023 Opto-Electronics and Communications Conference (OECC) Opto-Electronics and Communications Conference (OECC), 2023. :1-3 Jul, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Signal Processing and Analysis
Temperature measurement
Resistance
Optical fiber polarization
Training
Stokes parameters
Speckle
Optical fiber networks
multimode fiber
polarization state
convolutional neural network
- Language
- ISSN
- 2166-8892
We propose a precise polarization-measurement system based on multimode fiber speckle. Convolutional neural network is used to achieve accurate identification of polarization states. The system is resistant to indoor temperature variation and the mean square error between actual and predicted Stokes parameters is less than 0.001.