MobileRaT: A Lightweight Radio Transformer Method for Automatic Modulation Classification in Drone Communication Systems

Q Zheng, X Tian, Z Yu, Y Ding, A Elhanashi… - Drones, 2023 - mdpi.com
Nowadays, automatic modulation classification (AMC) has become a key component of next-
generation drone communication systems, which are crucial for improving communication …

Automatic modulation classification using deep residual neural network with masked modeling for wireless communications

Y Peng, L Guo, J Yan, M Tao, X Fu, Y Lin, G Gui - Drones, 2023 - mdpi.com
Automatic modulation classification (AMC) is a signal processing technology used to identify
the modulation type of unknown signals without prior information such as modulation …

Hybrid data augmentation and dual-stream spatiotemporal fusion neural network for automatic modulation classification in drone communications

A Gong, X Zhang, Y Wang, Y Zhang, M Li - Drones, 2023 - mdpi.com
Automatic modulation classification (AMC) is one of the most important technologies in
various communication systems, including drone communications. It can be applied to …

Decentralized learning and model averaging based automatic modulation classification in drone communication systems

M Ma, Y Xu, Z Wang, X Fu, G Gui - Drones, 2023 - mdpi.com
Automatic modulation classification (AMC) is a promising technology to identify the
modulation mode of the received signal in drone communication systems. Recently …

Automatic modulation classification based on deep learning for unmanned aerial vehicles

D Zhang, W Ding, B Zhang, C Xie, H Li, C Liu, J Han - Sensors, 2018 - mdpi.com
Deep learning has recently attracted much attention due to its excellent performance in
processing audio, image, and video data. However, few studies are devoted to the field of …

STARNet: An Efficient Spatiotemporal Feature Sharing Reconstructing Network for Automatic Modulation Classification

X Zhang, Z Wang, X Wang, T Luo… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Automatic Modulation Classification (AMC) is a crucial task in the field of wireless
communication, allowing for the identification of the modulation scheme of a received radio …

Abandon locality: Frame-wise embedding aided transformer for automatic modulation recognition

Y Chen, B Dong, C Liu, W Xiong… - IEEE Communications …, 2022 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) has been considered as an efficient technique for
non-cooperative communication and intelligent communication. In this work, we propose a …

Amc-net: An effective network for automatic modulation classification

J Zhang, T Wang, Z Feng, S Yang - ICASSP 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is a crucial stage in the spectrum management,
signal monitoring, and control of wireless communication systems. The accurate …

LightAMC: Lightweight automatic modulation classification via deep learning and compressive sensing

Y Wang, J Yang, M Liu, G Gui - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is an promising technology for non-cooperative
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …

Complex-valued convolution and frequency global filter for automatic modulation recognition

Q Luo, MM Zhao, Z Chen, Z Su… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) plays an important role in cognitive radio and
dynamic spectrum access, which has been widely applied in military and civilian …