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

TL;DR

This paper introduces a robust ADMM-based optimization algorithm for underwater acoustic channel estimation, effectively handling impulsive noise and large-scale multipath effects in challenging underwater environments.

Contribution

It proposes a novel ADMM-based algorithm within the compressed sensing framework to improve robustness in underwater acoustic channel estimation under impulsive noise.

Findings

Enhanced performance in impulsive noise conditions

Effective handling of large-scale multipath effects

Numerical simulations demonstrate improved accuracy

Abstract

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.