Machine learning based automatic modulation recognition for wireless communications: A comprehensive survey
The rapid development of information and wireless communication technologies together
with the large increase in the number of end-users have made the radio spectrum more …
with the large increase in the number of end-users have made the radio spectrum more …
Automatic modulation classification: A deep architecture survey
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 …
of an incoming signal at the receiver in wireless communication systems, is a fundamental …
Deep learning based automatic modulation recognition: Models, datasets, and challenges
F Zhang, C Luo, J Xu, Y Luo, FC Zheng - Digital Signal Processing, 2022 - Elsevier
Automatic modulation recognition (AMR) detects the modulation scheme of the received
signals for further signal processing without needing prior information, and provides the …
signals for further signal processing without needing prior information, and provides the …
Automatic modulation recognition based on adaptive attention mechanism and ResNeXt WSL model
Z Liang, M Tao, L Wang, J Su… - IEEE Communications …, 2021 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) plays an important role in modern wireless
communication. In this letter, a novel framework for AMR is proposed. The ResNeXt network …
communication. In this letter, a novel framework for AMR is proposed. The ResNeXt network …
Deep cascading network architecture for robust automatic modulation classification
BACKGROUND: Automatic modulation classification (AMC) plays a crucial role in cognitive
radio, such as industrial automation, transmitter identification, and spectrum resource …
radio, such as industrial automation, transmitter identification, and spectrum resource …
Lightweight deep learning model for automatic modulation classification in cognitive radio networks
Automatic modulation classification (AMC) used in cognitive radio networks is an important
class of methods apt to utilize spectrum resources efficiently. However, conventional …
class of methods apt to utilize spectrum resources efficiently. However, conventional …
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) …
Deep learning for modulation recognition: A survey with a demonstration
R Zhou, F Liu, CW Gravelle - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, we review a variety of deep learning algorithms and models for modulation
recognition and classification of wireless communication signals. Specifically, deep learning …
recognition and classification of wireless communication signals. Specifically, deep learning …
Towards next-generation signal intelligence: A hybrid knowledge and data-driven deep learning framework for radio signal classification
S Zheng, X Zhou, L Zhang, P Qi, K Qiu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Automatic modulation classification (AMC) can generally be divided into knowledge-based
methods and data-driven methods. In this paper, we explore combining the knowledge …
methods and data-driven methods. In this paper, we explore combining the knowledge …
Emd and vmd empowered deep learning for radio modulation recognition
T Chen, S Gao, S Zheng, S Yu, Q Xuan… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Deep learning has been widely exploited in radio modulation recognition in recent years. In
this paper, we exploit empirical mode decomposition (EMD) and variational mode …
this paper, we exploit empirical mode decomposition (EMD) and variational mode …