Low complexity deep learning algorithms for compensating atmospheric turbulence in the free space optical communication system

Abstract One of the main barriers of free space optical (FSO) communication systems is atmospheric turbulence. Various processing techniques at the transmitter, receiver, and transceiver sides are available for addressing this issue; however, they have either high complexity or low performance. Cons...

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Bibliographic Details
Main Authors: Mohammad Ali Amirabadi, Mohammad Hossein Kahaei, S. Alireza Nezamalhosseni
Format: Article
Language:English
Published: Wiley 2022-06-01
Series:IET Optoelectronics
Subjects:
Online Access:https://doi.org/10.1049/ote2.12060