This letter presents an Attention-aided MMSE (AMMSE) channel estimation method for underwater OFDM systems. To address the severe time variation and multipath effects in underwater acoustic channels, AMMSE leverages a Transformer to learn a linear MMSE filter from data, capturing temporal and spectral correlations. Inference involves only a matrix-vector multiplication, ensuring low complexity. Simulations show that AMMSE outperforms LS, 1D-MMSE, and MMSE across all SNRs, with significant gains in low-SNR conditions.
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T.T. Ha
Jeonghun Park
The Journal of Korean Institute of Communications and Information Sciences
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Ha et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69a75d3bc6e9836116a26ec1 — DOI: https://doi.org/10.7840/kics.2026.51.1.121