Deep Learning-Assisted Channel Estimation in Frequency Selective UWA Communication Systems

Deep Learning-Assisted Channel Estimation in Frequency Selective UWA Communication Systems

Envisioned future wireless gives rise to the possibility of exploiting underwater applications with high spectral efficiency and reliable communication. This paper presents a method to combine channel estimation in the time domain with neural networks and supervised learning to improve orthogonal fr...

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Détails bibliographiques
Auteurs principaux: Van Duc Nguyen, Dinh Khoa Phan, Trinh Van Chien
Format: Article
Langue:English
Publié: IEEE 2023-01-01
Collection:IEEE Access
Sujets:
UWA communications
supervised learning
frequency selective channels
OFDM
channel estimation
Accès en ligne:https://ieeexplore.ieee.org/document/10237216/

Internet

https://ieeexplore.ieee.org/document/10237216/

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