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2019 | OriginalPaper | Chapter

The Joint Channel Equalization and Estimation Algorithm for Underwater Acoustic Channel

Authors : Bo Li, Yu Zhao, Hongjuan Yang, Gongliang Liu, Xiyuan Peng

Published in: Communications, Signal Processing, and Systems

Publisher: Springer Singapore

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Abstract

Underwater acoustic channel (UAC) is one of the most challengeable communication channels in the world, owing to its complex multi-path and absorption as well as variable ambient noise. Although adaptive equalization could effectively eliminate the inter-symbol interference (ISI) with the help of training sequences, the convergence rate of equalization in sparse UAC decreased remarkably. Besides, channel estimation algorithms could roughly figure out channel impulse response and other channel parameters through several specific mathematical criterion. In this paper, a typical channel estimation method, Least-Square (LS) algorithm is applied in adaptive equalization to obtain the initial tap weights of least-mean-square (LMS) algorithm. Simulation results show that the proposed method significantly enhances the convergence rate of the LMS algorithm.

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Metadata
Title
The Joint Channel Equalization and Estimation Algorithm for Underwater Acoustic Channel
Authors
Bo Li
Yu Zhao
Hongjuan Yang
Gongliang Liu
Xiyuan Peng
Copyright Year
2019
Publisher
Springer Singapore
Book
Communications, Signal Processing, and Systems

Print ISBN: 978-981-10-6570-5

Electronic ISBN: 978-981-10-6571-2

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-10-6571-2_38