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...

Deep learning has recently been used for this issue with superior results in automatic modulation classification. Previous studies state that it is challenging to categorize a variety of formats using traditional approaches; however, classification crucial component non-cooperative communication wireless communication. The deep network was applied solve the and get decent outcomes. This work us...

Abstract Generalized Spatial Modulation is a recently developed technique that designed to enhance the efficiency of transmissions in MIMO Systems. However, procedure for correctly retrieving sent signal at receiving end quite demanding. Specifically, computation maximum likelihood solution computationally very expensive. In this paper, we propose parallel method using computing library OpenMP....