Underwater Acoustic Channel Adaptive Estimation using l21 Norms

TL;DR

This paper introduces an underwater acoustic channel estimation method using l21 norms in the frequency domain, which improves accuracy and efficiency over traditional l1-based methods by leveraging both main and auxiliary channel information.

Contribution

The paper presents a novel l21 norm-based framework for underwater acoustic channel estimation that enhances performance and reduces computational complexity.

Findings

Improved mean square error (MSE) compared to l1 norm methods.

Reduced execution time in channel estimation.

Effective utilization of main and auxiliary channel information.

Abstract

The problem of underwater acoustic (UWA) channel estimation is the non-uniform sparse representation that may increase the algorithm complexity and the required time. A mathematical framework utilizing l21 constraint with two-dimensional frequency domain is employed to enhance the channel estimation. The frame work depends on both main and auxiliary channel information. The simulation results have been demonstrated that the proposed estimation method can improve some problems that are achieved with other norms like l1. Furthermore, it can achieve a better performance in terms of mean square error (MSE) and execution time.