An efficient deep learning model for automatic modulation recognition based on parameter estimation and transformation
F Zhang, C Luo, J Xu, Y Luo - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) is a promising technology for intelligent
communication receivers to detect signal modulation schemes. Recently, the emerging deep …
communication receivers to detect signal modulation schemes. Recently, the emerging deep …
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 …
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 …
[HTML][HTML] Automatic modulation recognition based on a DCN-BiLSTM network
K Liu, W Gao, Q Huang - Sensors, 2021 - mdpi.com
Automatic modulation recognition (AMR) is a significant technology in noncooperative
wireless communication systems. This paper proposes a deep complex network that …
wireless communication systems. This paper proposes a deep complex network that …
Fast deep learning for automatic modulation classification
In this work, we investigate the feasibility and effectiveness of employing deep learning
algorithms for automatic recognition of the modulation type of received wireless …
algorithms for automatic recognition of the modulation type of received wireless …
Multitask-learning-based deep neural network for automatic modulation classification
Automatic modulation classification (AMC) is to identify the modulation type of a received
signal, which plays a vital role to ensure the physical-layer security for Internet of Things …
signal, which plays a vital role to ensure the physical-layer security for Internet of Things …
[HTML][HTML] A review of research on signal modulation recognition based on deep learning
W Xiao, Z Luo, Q Hu - Electronics, 2022 - mdpi.com
Since the emergence of 5G technology, the wireless communication system has had a huge
data throughput, so the joint development of artificial intelligence technology and wireless …
data throughput, so the joint development of artificial intelligence technology and wireless …
Deep learning-based automatic modulation recognition method in the presence of phase offset
J Shi, S Hong, C Cai, Y Wang, H Huang, G Gui - IEEE Access, 2020 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) plays an important role in various communications
systems. It has the ability of adaptive modulation and can adapt to various complex …
systems. It has the ability of adaptive modulation and can adapt to various complex …
Adversarial transfer learning for deep learning based automatic modulation classification
Automatic modulation classification facilitates many important signal processing
applications. Recently, deep learning models have been adopted in modulation recognition …
applications. Recently, deep learning models have been adopted in modulation recognition …