Sparse adaptive self-iterative equalization algorithm for faster-than-Nyquist underwater acoustic communication

被引：0

作者：

Chu, Runcong ^{[1
,2
]}

Wu, Yanbo ^{[1
,3
,4
]}

Zhu, Min ^{[1
,3
,4
]}

Xu, Rui ^{[1
,2
]}

Kou, Xu ^{[1
,2
]}

机构：

[1] Ocean Acoustic Technology Laboratory, Institute of Acoustics, Chinese Academy of Sciences, Beijing

[2] University of Chinese Academy of Sciences, Beijing

[3] Beijing Engineering Technology Research Center of Ocean Acoustic Equipment, Beijing

[4] State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing

来源：

Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2025年 / 46卷 / 06期

关键词：

adaptive algorithm; data reuse; Farrow filter; faster-than-Nyquist; improved proportionate recursive least squares; soft decoder; soft equalizer; Turbo equalization; underwater acoustic communication;

D O I：

10.11990/jheu.202305050

中图分类号：

学科分类号：

摘要：

A sparse adaptive self-iterative equalization algorithm based on data reuse improved proportionate recursive least squares is proposed for inter-symbol-interference in faster-than-Nyquist underwater acoustic communication. The algorithm updates the equalizer coefficients and posterior soft decision symbols in soft equalizer self-iteration. It also adjusts the sparsity of the algorithm using the faster-than-Nyquist signal acceleration factor. The fitting relationship between the sparsity factor and the acceleration factor under quadrature phase shift keying and 8-phase shift keying modulation is provided. Simulation and experiments confirm that the proposed algorithm has superior equalization performance and convergence speed. The algorithm achieves an error-free decoding transmission of faster-than-Nyquist signals with a spectral efficiency of 2. 14 bits/ (s·Hz) in the 10 km shallow horizontal communication sea trial. © 2025 Editorial Board of Journal of Harbin Engineering. All rights reserved.

引用

页码：1187 / 1196

页数：9

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