Work

A New Adaptive Stopping Criterion for Sparse Channel Estimation in MIMO-OFDM Underwater Acoustic Communications

Year: 2025

Type: conference-paper

Abstract: Multiple inputs, multiple outputs (MIMO) systems are an attracting method for establishing high data rate underwater acoustic (UWA) communications. While the estimation of MIMO channels is challenging, sparse decomposition algorithms may enable efficient estimation methods. In this paper, a new stopping criterion for the compressed sampling matching pursuit channel estimation algorithm is proposed. Based on the residual statistics, it enables accurate channel estimation without prior knowledge of the channel sparsity level and signal-to-noise ratio (SNR).

DOI: 10.1109/oceans58557.2025.11104647

Authors: Thomas Chové, Pierre-Jean Bouvet, Christophe Laot, Nicolas Le Josse

Institutions: Université de Bretagne Occidentale, Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance, Thales (France), Institut Supérieur de l'Électronique et du Numérique, ISEN Ouest, Centre National de la Recherche Scientifique, IMT Atlantique

Language: English

Topic: Underwater Vehicles and Communication Systems

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4413205949

FWCI:

Cites: 21

Cited by:

Related to: 10