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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Bibliografiska uppgifter
Huvudupphovsmän: Van Duc Nguyen, Dinh Khoa Phan, Trinh Van Chien
Materialtyp: Artikel
Språk:English
Publicerad: IEEE 2023-01-01
Serie:IEEE Access
Ämnen:
UWA communications
supervised learning
frequency selective channels
OFDM
channel estimation
Länkar:https://ieeexplore.ieee.org/document/10237216/

Internet

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

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