Deep Spatio-Temporal Graph Learning with Batch Normalization for Modulation Classification
Automatic modulation classification (AMC) enables an intelligent receiver to identify an unknown modulation format before demodulation. This paper presents a spatio-temporal graph convolutional network (ST-GCN) with batch normalization for classifying raw in-phase and quadrature (I/Q) signal windows. The proposed metho...