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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Van Duc Nguyen, Dinh Khoa Phan, Trinh Van Chien
Format: Artikel
Sprache:English
Veröffentlicht: IEEE 2023-01-01
Schriftenreihe:IEEE Access
Schlagworte:
UWA communications
supervised learning
frequency selective channels
OFDM
channel estimation
Online Zugang:https://ieeexplore.ieee.org/document/10237216/

Online

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

Ähnliche Einträge