Using Machine Learning Algorithms for Accurate Received Optical Power Prediction of an FSO Link over a Maritime Environment
The performance prediction of an optical communications link over maritime environments has been extensively researched over the last two decades. The various atmospheric phenomena and turbulence effects have been thoroughly explored, and long-term measurements have allowed for the construction of s...
Main Authors: | Antonios Lionis, Konstantinos Peppas, Hector E. Nistazakis, Andreas Tsigopoulos, Keith Cohn, Athanassios Zagouras |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
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Series: | Photonics |
Subjects: | |
Online Access: | https://www.mdpi.com/2304-6732/8/6/212 |
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