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Review Article

Channel Estimation for Underwater Acoustic OFDM Communications: Recent Advances

In Press, (this is not the final "Version of Record"). Available online 18 September, 2023
Author(s): Mingzhang Zhou, Haixin Sun*, Junfeng Wang*, Zhuofan Xie and Xiao Feng
Published on: 18 September, 2023

Article ID: e050723218434

DOI: 10.2174/1872212118666230705141644

Price: $95

Abstract

Background: To resist the time-variant underwater acoustic (UWA) channel, large amounts of channel estimation algorithms for the UWA orthogonal frequency division multiplexing (OFDM) are presented. An updated review of the recent UWA OFDM channel estimators is suggested in this article.

Objective: The goal of this patent is to review and conclude the development of different types of channel estimators. The possible perspectives about the future UWA channel estimator design are also discussed.

Methodology: The principles and performances of the linear channel estimators, the compressed sensing (CS)-based channel estimators, and the neural network (NN)-based channel estimators are reviewed and discussed. Simulations are conducted to compare the typical implementations of the different methods.

Conclusion: To take more channel state characteristics into account, the data-driven methods have been applied in the channel estimator design. Compared with the linear and CS-based methods, the NN-based channel estimator shows the higher performance, robustness and lower complexity, which is promising to be applied with the proper structure and training sets.

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