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 …
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 …
[HTML][HTML] Large-scale real-world radio signal recognition with deep learning
TU Ya, LIN Yun, ZHA Haoran, J Zhang, W Yu… - Chinese Journal of …, 2022 - Elsevier
In the past ten years, many high-quality datasets have been released to support the rapid
development of deep learning in the fields of computer vision, voice, and natural language …
development of deep learning in the fields of computer vision, voice, and natural language …
Multisignal modulation classification using sliding window detection and complex convolutional network in frequency domain
C Hou, G Liu, Q Tian, Z Zhou, L Hua… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the development of the Internet of Things (IoT), the IoT devices are increasing day by
day, resulting in increasingly scarce spectrum resources. At the same time, many IoT …
day, resulting in increasingly scarce spectrum resources. At the same time, many IoT …
DL-PR: Generalized automatic modulation classification method based on deep learning with priori regularization
Q Zheng, X Tian, Z Yu, H Wang, A Elhanashi… - … Applications of Artificial …, 2023 - Elsevier
Automatic modulation classification (AMC) is an essential and indispensable topic in the
development of cognitive radios. It is the cornerstone of adaptive modulation and …
development of cognitive radios. It is the cornerstone of adaptive modulation and …
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 …
Real-time radio technology and modulation classification via an LSTM auto-encoder
Identification of the type of communication technology and/or modulation scheme based on
detected radio signal are challenging problems encountered in a variety of applications …
detected radio signal are challenging problems encountered in a variety of applications …
Automatic modulation classification based on decentralized learning and ensemble learning
To deal with the deep learning-based automatic modulation classification (AMC) in the
scenario that the training dataset are distributed over a network without gathering the data at …
scenario that the training dataset are distributed over a network without gathering the data at …
Automatic modulation classification using ResNeXt-GRU with deep feature fusion
With the integrated design and application of radar, communication, and electronic
reconnaissance, automatic modulation classification (AMC) is becoming increasingly …
reconnaissance, automatic modulation classification (AMC) is becoming increasingly …
Amcrn: Few-shot learning for automatic modulation classification
Deep learning (DL) has been widely applied in automatic modulation classification (AMC),
while the superb performance highly depends on high-quality datasets. Motivated by this …
while the superb performance highly depends on high-quality datasets. Motivated by this …