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Deep learning based automatic modulation recognition: Models, datasets, and challenges
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 …
Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …
position in providing Internet access thanks to their freedom of deployment and configuration …
MR‐DCAE: Manifold regularization‐based deep convolutional autoencoder for unauthorized broadcasting identification
Q Zheng, P Zhao, D Zhang… - International Journal of …, 2021 - Wiley Online Library
Nowadays, radio broadcasting plays an important role in people's daily life. However,
unauthorized broadcasting stations may seriously interfere with normal broadcastings and …
unauthorized broadcasting stations may seriously interfere with normal broadcastings and …
Radar deception jamming recognition based on weighted ensemble CNN with transfer learning
With the development of new active deception jamming, radar antijamming has become a
major research hotspot, and the recognition of jamming type is one of its key steps. In recent …
major research hotspot, and the recognition of jamming type is one of its key steps. In recent …
An overview of wireless communication technology using deep learning
J Jiao, X Sun, L Fang, J Lyu - China Communications, 2021 - ieeexplore.ieee.org
With the development of 5G, the future wireless communication network tends to be more
and more intelligent. In the face of new service demands of communication in the future such …
and more intelligent. In the face of new service demands of communication in the future such …
CNN-based automatic modulation recognition for index modulation systems
Automatic modulation recognition (AMR) has garnered significant attention in both civilian
and military domains, with applications ranging from spectrum sensing and cognitive radio …
and military domains, with applications ranging from spectrum sensing and cognitive radio …
Learn to defend: Adversarial multi-distillation for automatic modulation recognition models
Z Chen, Z Wang, D Xu, J Zhu, W Shen… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) of radio signal is an important research topic in the
area of non-cooperative communication and cognitive radio. Recently deep learning (DL) …
area of non-cooperative communication and cognitive radio. Recently deep learning (DL) …
[HTML][HTML] Automatic modulation recognition using deep CVCNN-LSTM architecture
R Cheng, Q Chen, M Huang - Alexandria Engineering Journal, 2024 - Elsevier
Automatic modulation recognition (AMR) stands as a pivotal operation within industrial
cognitive radio systems. State-of-the-art real-valued convolutional neural networks (CNNs) …
cognitive radio systems. State-of-the-art real-valued convolutional neural networks (CNNs) …
Attention-based gesture recognition using commodity wifi devices
The broad spectrum of applications of WiFi sensing technology, such as gait and gesture
recognition, has received widespread attention in recent years. Though most WiFi sensing …
recognition, has received widespread attention in recent years. Though most WiFi sensing …
Open set domain adaptation for automatic modulation classification in dynamic communication environments
M Zhang, P Tang, G Wei, X Ni, G Ding… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is gaining greater significance in both military
and civilian contexts. However, the diversity and dynamics of actual wireless communication …
and civilian contexts. However, the diversity and dynamics of actual wireless communication …