Deep Learning-Based Channel Estimation With 1D CNN for OFDM Systems Under High-Speed Railway Environments

Deep Learning-Based Channel Estimation With 1D CNN for OFDM Systems Under High-Speed Railway Environments

In OFDM wireless communications, channel estimation performance is compromised in high-speed railway environments owing to extremely fast multipath fading and severe Doppler effect. Recently, a deep learning approach has been employed to improve the channel estimation performance, however it encount...

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Bibliographic Details
Main Authors: Aphitchaya Siriwanitpong, Kosuke Sanada, Hiroyuki Hatano, Kazuo Mori, Pisit Boonsrimuang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Channel estimation
OFDM
high-speed railway environment
deep learning
CNN
Online Access:https://ieeexplore.ieee.org/document/10844284/
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https://ieeexplore.ieee.org/document/10844284/

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