Fig. 2

The process map. This figure presents the overall process of the proposed classification method. The deep learning AMC can be processed in two processes, i.e., the offline training process and the online test process. In training process, preprocessing receives the signals and then transforms them from I/Q data to A/P data. After multichannel input fusion and features extraction, classifier learns their modulate type. In test process, the well-trained model receives the signal and decide the modulation scheme