Machine-Learning-Aided Optical Fiber Communication System

IEEE Network ◽  
2021 ◽  
Vol 35 (4) ◽  
pp. 136-142
Author(s):  
Xiaolong Pan ◽  
Xishuo Wang ◽  
Bo Tian ◽  
Chuxuan Wang ◽  
Hongxin Zhang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Optical Fiber ◽  
Communication System ◽  
Optical Fiber Communication ◽  
Fiber Communication ◽  
Optical Fiber Communication System

Optical neural networks based on optical fiber-communication system

2019 ◽  
Vol 364 ◽  
pp. 239-244 ◽  
Author(s):  
Tian-You Cheng ◽  
Da-Ya Chou ◽  
Ching-Chuan Liu ◽  
Ya-Ju Chang ◽  
Chii-Chang Chen
Keyword(s):  
Neural Networks ◽  
Optical Fiber ◽  
Communication System ◽  
Optical Fiber Communication ◽  
Fiber Communication ◽  
Optical Neural Networks ◽  
Optical Fiber Communication System

Loss Characteristics Analysis and Optimization of an Off-Axis Rotary Optical Fiber Communication System

2014 ◽  
Vol 596 ◽  
pp. 788-793 ◽  
Author(s):  
Xiao Hua Wang ◽  
Qian Zhao ◽  
Li Li ◽  
Jie Ding ◽  
Qiu Xin Zheng ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Communication System ◽  
High Speed ◽  
Optical Fiber Communication ◽  
Fiber Communication ◽  
Experiment Platform ◽  
Optical Fiber Communication System ◽  
Characteristics Analysis ◽  
Fiber Collimator ◽  
The Stability

The losses of the off-axis rotary optical fiber communication system were derived from optical fiber coupling, three kinds of misalignments between optical fiber collimators (Axial separation Z0, lateral offset X0, angular tilting θ), incomplete alignment of optical fiber collimator during rotation and system tremble caused by high speed rotating. Some measures were taken to reduce the loss. The thermally expanded core fiber collimator cut down the influence of axial separation and angular tilting. The position of the optical fiber collimator on the flange was adjusted and infrared right angle prisms were installed to reduce the losses during rotation of the system. In addition, improving the precision and optimizing device of mechanical structure can increase the stability of the whole experiment platform and decrease the losses.

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