The existing research on deep learning for radar signal intra–pulse modulation classification is mainly based supervised leaning techniques, which performance relies a large number of labeled samples. To overcome this limitation, self–supervised framework, contrastive (CL), combined with the convolutional neural network (CNN) and focal loss function proposed, called CL––CNN. A two–stage trainin...