S Chang, R Zhang, K Ji, S Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Automatic modulation classification (AMC) identifies a received signal's modulation scheme without prior knowledge of the intercepted signal, which enables significant applications in …
In this paper, we propose a deep neural network (DNN)-based automatic modulation classification (AMC) for digital communications. While conventional AMC techniques …
Automatic modulation classification (AMC), which aims to blindly identify the modulation type of an incoming signal at the receiver in wireless communication systems, is a fundamental …
Automatic modulation classification (AMC) aims at identifying the modulation of the received signals, which is a significant approach to identifying the target in military and civil …
S Chang, Z Yang, J He, R Li, S Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Automatic modulation classification (AMC) enables significant applications in both the military and civilian domains. Inspired by the great success of deep learning (DL), a dual …
T Yao, Y Chai, S Wang, X Miao… - 2020 IEEE 4th Information …, 2020 - ieeexplore.ieee.org
Automatic modulation classification (AMC) becomes more and more important in the electronic reconnaissance. Recently, lots of researchers focus on deep learning architecture …
P Dileep, D Das, PK Bora - 2020 national conference on …, 2020 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is an important part of signal identification for cognitive radio as well as military communication. The problem has been approached …
X Shang, H Hu, X Li, T Xu, T Zhou - IEEE access, 2020 - ieeexplore.ieee.org
Recently, deep learning (DL) based automatic modulation classification (AMC) has received much attention. Various network structures with higher complexity are utilized to boost the …
Recently, automatic modulation classification (AMC) has been studied by more and more researchers, and a host of methods based on deep learning have been proposed. Different …