Atmospheric Turbulence Strength Estimation Using Convolution Neural Network

Atmospheric Turbulence Strength Estimation Using Convolution Neural Network

Laser beam transmission in atmospheric turbulence causes image distortion and affects the quality of information transmission in the field of optical communication. The strength of the atmospheric turbulence, which can be characterized by refractive index structure constant <inline-formula><...

Full description

Bibliographic Details
Main Authors: Siyu Gao, Xiaoyun Liu, Yonghao Chen, Jinyang Jiang, Ying Liu, Yueqiu Jiang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Photonics Journal
Subjects:
Atmospheric turbulence
convolution neural network
refractive index structure constant <named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$C^{2}_{n}$</tex-math> </inline-formula> </named-content>
Online Access:https://ieeexplore.ieee.org/document/10250932/

Internet

https://ieeexplore.ieee.org/document/10250932/

Similar Items