Free-Space Optical Channel Turbulence Prediction: A Machine Learning Approach

Channel turbulence presents a formidable obstacle for free-space optical (FSO) communication. Anticipation of turbulence levels is highly important for mitigating disruptions. We study the application of machine learning (ML) to FSO data streams to rapidly predict channel turbulence levels with no a...

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Bibliographische Detailangaben

Hauptverfasser:	Islam, Md Zobaer, Abele, Ethan, Hossain, Fahim Ferdous, Ahmad, Arsalan, Ekin, Sabit, O'Hara, John F
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Systems and Control
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