Hierarchical digital modulation classification using cascaded convolutional neural network
J Huang, S Huang, Y Zeng, H Chen… - Journal of …, 2021 - ieeexplore.ieee.org
Automatic modulation classification (AMC) aims to identify the modulation format of the
received signals corrupted by the noise, which plays a major role in radio monitoring. In this …
received signals corrupted by the noise, which plays a major role in radio monitoring. In this …
A hierarchical classification head based convolutional gated deep neural network for automatic modulation classification
Automatic modulation classification (AMC) identifies a received signal's modulation scheme
without prior knowledge of the intercepted signal, which enables significant applications in …
without prior knowledge of the intercepted signal, which enables significant applications in …
An efficient modulation classification method using signal constellation diagrams with convolutional neural networks, Gabor filtering, and thresholding
MA Abdel‐Moneim, RM Al‐Makhlasawy… - Transactions on …, 2022 - Wiley Online Library
Recently, automatic modulation classification (AMC) has extensively and commonly been
utilized in several modern wireless communication systems as a significant tool of signal …
utilized in several modern wireless communication systems as a significant tool of signal …
Accuracy analysis of feature-based automatic modulation classification via deep neural network
Z Ge, H Jiang, Y Guo, J Zhou - Sensors, 2021 - mdpi.com
A feature-based automatic modulation classification (FB-AMC) algorithm has been widely
investigated because of its better performance and lower complexity. In this study, a deep …
investigated because of its better performance and lower complexity. In this study, a deep …
Automatic modulation classification using contrastive fully convolutional network
Automatic modulation classification (AMC) aims at identifying the modulation format of the
received signal. In this letter, we propose a novel grid constellation matrix (GCM)-based …
received signal. In this letter, we propose a novel grid constellation matrix (GCM)-based …
Automatic modulation classification using multi-scale convolutional neural network
H Chen, L Guo, C Dong, F Cong… - 2020 IEEE 31st Annual …, 2020 - ieeexplore.ieee.org
In this paper, a multi-scale convolutional neural network-based (MSN) method is proposed
for robust automatic modulation classification (AMC). The classifier directly utilizes in-phase …
for robust automatic modulation classification (AMC). The classifier directly utilizes in-phase …
Automatic modulation classification: A deep learning enabled approach
Automatic modulation classification (AMC), which plays critical roles in both civilian and
military applications, is investigated in this paper through a deep learning approach …
military applications, is investigated in this paper through a deep learning approach …
Automatic modulation classification in time-varying channels based on deep learning
Automatic modulation classification (AMC) is an important technology in military signal
reconnaissance and civilian communications such as cognitive radios. Most of the existing …
reconnaissance and civilian communications such as cognitive radios. Most of the existing …
A convolutional and transformer based deep neural network for automatic modulation classification
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 …
signals, which is a significant approach to identifying the target in military and civil …
Convolutional neural network and multi‐feature fusion for automatic modulation classification
H Wu, Y Li, L Zhou, J Meng - Electronics Letters, 2019 - Wiley Online Library
Automatic modulation classification (AMC) lies at the core of cognitive radio and spectrum
sensing. In this Letter, the authors propose a novel convolutional neural network (CNN) …
sensing. In this Letter, the authors propose a novel convolutional neural network (CNN) …