DDA-Net achieves more than 5 dB NMSE gain over baselines at 10 dB SNR on QuaDRiGa UMa-NLOS and retains a 1.5 dB lead on 3GPP CDL-B under zero-shot testing by unfolding ADMM with a closed-form consistency step and a lightweight Doppler denoiser.
Learned D-AMP: Prin- cipled neural network based compressive image recovery
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DDA-Net: Accurate TDD Channel Estimation via Deep Unfolding the Doppler-Delay-Angle Representation of Channel Signals
DDA-Net achieves more than 5 dB NMSE gain over baselines at 10 dB SNR on QuaDRiGa UMa-NLOS and retains a 1.5 dB lead on 3GPP CDL-B under zero-shot testing by unfolding ADMM with a closed-form consistency step and a lightweight Doppler denoiser.