Evaluating Sparse RLS Adaptive Equalization Algorithms Under Wind-Driven Time-Varying Shallow Water Channel

Haoci Zheng; Qiaoning Zheng; Weihua Jiang; F. Tong; Dongsheng Chen

doi:10.1145/3699432.3699480

Evaluating Sparse RLS Adaptive Equalization Algorithms Under Wind-Driven Time-Varying Shallow Water Channel

Haoci Zheng, Qiaoning Zheng, Weihua Jiang, F. Tong, Dongsheng Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The underwater acoustic (UWA) channel generally exhibits sparsity in shallow sea environments, which often experience time variations under windy condition. To enhance the efficacy of traditional adaptive equalization algorithms, researchers have extensively explored adaptive equalization algorithms based on norm regularization and "proportional" regulation concepts to leverage this sparsity. Evaluating performance of different sparse RLS adaptive channel equalizers at the presence of wind-driven time-varying UWA channel renders meaningful reference and guide from the perspective of algorithm design. Via UWA communication experiment conducted in Xiamen Port, this letter assesses the effectiveness of sparse recursive least squares (RLS) algorithms under typical wind-driven time-varying shallow sea conditions.

Original language	English
Title of host publication	WUWNET 2024 - Proceedings of the 18th ACM International Conference on Underwater Networks and Systems
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9798400711602
DOIs	https://doi.org/10.1145/3699432.3699480
State	Published - 27 Jan 2025
Externally published	Yes
Event	18th ACM International Conference on Underwater Networks and Systems, WUWNET 2024 - Sibenik, Croatia Duration: 28 Oct 2024 → 31 Oct 2024

Publication series

Name	WUWNET 2024 - Proceedings of the 18th ACM International Conference on Underwater Networks and Systems

Conference

Conference	18th ACM International Conference on Underwater Networks and Systems, WUWNET 2024
Country/Territory	Croatia
City	Sibenik
Period	28/10/24 → 31/10/24

Bibliographical note

Publisher Copyright:
© 2024 Copyright held by the owner/author(s).

Keywords

shallow sea
sparse channel
sparse RLS algorithms

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems
Ocean Engineering

Access to Document

10.1145/3699432.3699480

Cite this

Zheng, H., Zheng, Q., Jiang, W., Tong, F., & Chen, D. (2025). Evaluating Sparse RLS Adaptive Equalization Algorithms Under Wind-Driven Time-Varying Shallow Water Channel. In WUWNET 2024 - Proceedings of the 18th ACM International Conference on Underwater Networks and Systems (WUWNET 2024 - Proceedings of the 18th ACM International Conference on Underwater Networks and Systems). Association for Computing Machinery, Inc. https://doi.org/10.1145/3699432.3699480

Zheng, Haoci ; Zheng, Qiaoning ; Jiang, Weihua et al. / Evaluating Sparse RLS Adaptive Equalization Algorithms Under Wind-Driven Time-Varying Shallow Water Channel. WUWNET 2024 - Proceedings of the 18th ACM International Conference on Underwater Networks and Systems. Association for Computing Machinery, Inc, 2025. (WUWNET 2024 - Proceedings of the 18th ACM International Conference on Underwater Networks and Systems).

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title = "Evaluating Sparse RLS Adaptive Equalization Algorithms Under Wind-Driven Time-Varying Shallow Water Channel",

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Zheng, H, Zheng, Q, Jiang, W, Tong, F & Chen, D 2025, Evaluating Sparse RLS Adaptive Equalization Algorithms Under Wind-Driven Time-Varying Shallow Water Channel. in WUWNET 2024 - Proceedings of the 18th ACM International Conference on Underwater Networks and Systems. WUWNET 2024 - Proceedings of the 18th ACM International Conference on Underwater Networks and Systems, Association for Computing Machinery, Inc, 18th ACM International Conference on Underwater Networks and Systems, WUWNET 2024, Sibenik, Croatia, 28/10/24. https://doi.org/10.1145/3699432.3699480

Evaluating Sparse RLS Adaptive Equalization Algorithms Under Wind-Driven Time-Varying Shallow Water Channel. / Zheng, Haoci; Zheng, Qiaoning; Jiang, Weihua et al.
WUWNET 2024 - Proceedings of the 18th ACM International Conference on Underwater Networks and Systems. Association for Computing Machinery, Inc, 2025. (WUWNET 2024 - Proceedings of the 18th ACM International Conference on Underwater Networks and Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Chen, Dongsheng

PY - 2025/1/27

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N2 - The underwater acoustic (UWA) channel generally exhibits sparsity in shallow sea environments, which often experience time variations under windy condition. To enhance the efficacy of traditional adaptive equalization algorithms, researchers have extensively explored adaptive equalization algorithms based on norm regularization and "proportional" regulation concepts to leverage this sparsity. Evaluating performance of different sparse RLS adaptive channel equalizers at the presence of wind-driven time-varying UWA channel renders meaningful reference and guide from the perspective of algorithm design. Via UWA communication experiment conducted in Xiamen Port, this letter assesses the effectiveness of sparse recursive least squares (RLS) algorithms under typical wind-driven time-varying shallow sea conditions.

AB - The underwater acoustic (UWA) channel generally exhibits sparsity in shallow sea environments, which often experience time variations under windy condition. To enhance the efficacy of traditional adaptive equalization algorithms, researchers have extensively explored adaptive equalization algorithms based on norm regularization and "proportional" regulation concepts to leverage this sparsity. Evaluating performance of different sparse RLS adaptive channel equalizers at the presence of wind-driven time-varying UWA channel renders meaningful reference and guide from the perspective of algorithm design. Via UWA communication experiment conducted in Xiamen Port, this letter assesses the effectiveness of sparse recursive least squares (RLS) algorithms under typical wind-driven time-varying shallow sea conditions.

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Zheng H, Zheng Q, Jiang W, Tong F, Chen D. Evaluating Sparse RLS Adaptive Equalization Algorithms Under Wind-Driven Time-Varying Shallow Water Channel. In WUWNET 2024 - Proceedings of the 18th ACM International Conference on Underwater Networks and Systems. Association for Computing Machinery, Inc. 2025. (WUWNET 2024 - Proceedings of the 18th ACM International Conference on Underwater Networks and Systems). doi: 10.1145/3699432.3699480

Evaluating Sparse RLS Adaptive Equalization Algorithms Under Wind-Driven Time-Varying Shallow Water Channel

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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