Automatic Modulation Recognition Based on RadioAlign Feature Adaptation, Scale Attention, and a Bayesian Residual Branch
To address amplitude scaling, phase rotation, local misalignment, and ambiguous decision boundaries under low-SNR and non-cooperative reception conditions, we propose an Attention RadioAlign Bayesian Residual Network (ABRNet) for automatic modulation recognition. ABRNet takes raw I/Q sequences as input. It first employ...