A Robust ADMM-Based Optimization Algorithm For Underwater Acoustic Channel Estimation

Tian Tian, Agastya Raj, Bruno Missi Xavier, Ying Zhang, Feiyun Wu, Kunde Yang

科研成果: 书/报告/会议事项章节会议稿件同行评审

5 引用 (Scopus)

摘要

Accurate estimation of the Underwater acoustic (UWA) is a key part of underwater communications, especially for coherent systems. The severe multipath effects and large delay spreads make the estimation problem large-scale. The non-stationary, non-Gaussian, and impulsive nature of ocean ambient noise poses further obstacles to the design of estimation algorithms. Under the framework of compressed sensing (CS), this work addresses the issue of robust channel estimation when measurements are contaminated by impulsive noise. A first-order algorithm based on alternating direction method of multipliers (ADMM) is proposed. Numerical simulations of time-varying channel estimation are performed to show its improved performance in highly impulsive noise environments.

源语言英语
主期刊名OCEANS 2023 - Limerick, OCEANS Limerick 2023
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798350332261
DOI
出版状态已出版 - 2023
活动2023 OCEANS Limerick, OCEANS Limerick 2023 - Limerick, 爱尔兰
期限: 5 6月 20238 6月 2023

出版系列

姓名OCEANS 2023 - Limerick, OCEANS Limerick 2023

会议

会议2023 OCEANS Limerick, OCEANS Limerick 2023
国家/地区爱尔兰
Limerick
时期5/06/238/06/23

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