GAMP-Based Low-Complexity Sparse Bayesian Learning Channel Estimation for OTFS Systems in V2X Scenarios

GAMP-Based Low-Complexity Sparse Bayesian Learning Channel Estimation for OTFS Systems in V2X Scenarios

Vehicle to everything (V2X) is widely regarded as a critical application for future wireless communication networks. In V2X, large relative speeds between vehicles may severely deteriorate the performance of communication between vehicles. Orthogonal time frequency space (OTFS) modulation, which con...

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Bibliographic Details
Main Authors: Yuanbing Zheng, Jizhe Wang, Jian Wang, Lu Chen, Chongchong Wu, Xue Li, Yong Liao, Peng Lu, Shaohua Wan
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Electronics
Subjects:
V2X
OTFS
delay-Doppler
inter-Doppler interference
sparse Bayesian learning
channel estimation
Online Access:https://www.mdpi.com/2079-9292/12/23/4722

Internet

https://www.mdpi.com/2079-9292/12/23/4722

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