Accurate Channel Estimation and Adaptive Underwater Acoustic Communications Based on Gaussian Likelihood and Constellation Aggregation

Accurate Channel Estimation and Adaptive Underwater Acoustic Communications Based on Gaussian Likelihood and Constellation Aggregation

Achieving accurate channel estimation and adaptive communications with moving transceivers is challenging due to rapid changes in the underwater acoustic channels. We achieve an accurate channel estimation of fast time-varying underwater acoustic channels by using the superimposed training scheme wi...

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Bibliographic Details
Main Authors: Liang Wang, Peiyue Qiao, Junyan Liang, Tong Chen, Xinjie Wang, Guang Yang
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Sensors
Subjects:
time-varying underwater acoustic channels
superimposed training
Gaussian likelihood
constellation aggregation
turbo equalization
Online Access:https://www.mdpi.com/1424-8220/22/6/2142

Internet

https://www.mdpi.com/1424-8220/22/6/2142

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