Deep learning-based pilot-free channel estimation of UAV-FSO system using variational auto-encoder

Reliable channel estimation is critical for achieving high-speed and energy-efficient communication in Unmanned Aerial Vehicle-Free Space Optical (UAV-FSO) systems, particularly under dynamic impairments such as atmospheric turbulence (AT) and pointing errors (PEs). This paper proposes a pilot-free...

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Hlavní autoři:	Yamuna Tumma, Mahesh Miriyala
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-12-01
Edice:	ICT Express
Témata:	Atmospheric turbulence Auto encoders Pointing errors Variational Autoencoder UAV-FSO communication
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S240595952500178X
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