Jun-Kai Zhang

Flow Matching-based Sparse Bayesian Learning for AI-Enabled Channel Estimation in Underwater Acoustic OFDM Systems

Accurate channel estimation is critical for orthogonal frequency-division multiplexing (OFDM) systems in underwater acoustic (UWA) communications, yet it faces significant challenges from long delay spreads, sparse multipath structures, and nonGaussian noise. Existing sparse Bayesian learning (SBL)-based methods often...