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

Autor:	Tian, Tian, Raj, Agastya, Xavier, Bruno Missi, Zhang, Ying, Wu, Feiyun, Yang, Kunde
Rok vydání:	2023
Předmět:	Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	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. Comment: This paper has been accepted and presented at OCEANS 2023 - Limerick Conference. This version is a preprint
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2308.12203 Zobrazit plný text záznamu View this record from Arxiv