Joint Channel Estimation and Generalized Approximate Messaging Passing-Based Equalization for Underwater Acoustic Communications

Joint Channel Estimation and Generalized Approximate Messaging Passing-Based Equalization for Underwater Acoustic Communications

Acquiring channel state information and mitigating multi-path interference are challenging for underwater acoustic communications under time-varying channels. We address the issues using a superimposed training (ST) scheme with a least squares (LS) based channel estimation algorithm. The training se...

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Bibliographic Details
Main Authors: Guang Yang, Tailian Liu, Hanxue Ding, Qi Yan, Xinjie Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Time-varying underwater acoustic channels
superimposed training
generalized approximate messaging passing
iterative turbo receiver
Online Access:https://ieeexplore.ieee.org/document/9374988/

Internet

https://ieeexplore.ieee.org/document/9374988/

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