Multi-domain-fusion deep learning for automatic modulation recognition in spatial cognitive radio [PDF]
Scientific Reports, 2023 Automatic modulation recognition (AMR) is a critical technology in spatial cognitive radio (SCR), and building high-performance AMR model can achieve high classification accuracy of signals.
Shunhu Hou +5 more
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Automatic Modulation Recognition for Radio Mixed Proximity Sensor Signals Based on a Time-Frequency Image Enhancement Network [PDF]
SensorsThe automatic modulation recognition (AMR) of low probability intercept (LPI) signals has received a considerable amount of interest from many researchers who have done much work on electronic reconnaissance.
Jinyu Zhang +5 more
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Tackling Few-Shot Challenges in Automatic Modulation Recognition: A Multi-Level Comparative Relation Network Combining Class Reconstruction Strategy [PDF]
SensorsAutomatic Modulation Recognition (AMR) is a key technology in the field of cognitive communication, playing a core role in many applications, especially in wireless security issues.
Zhao Ma +4 more
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Enhancing Automatic Modulation Recognition for IoT Applications Using Transformers
IoTAutomatic modulation recognition (AMR) is vital for accurately identifying modulation types within incoming signals, a critical task for optimizing operations within edge devices in IoT ecosystems.
Narges Rashvand +6 more
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IEEE Access, 2019 Automatic modulation recognition (AMR) plays an important role in cognitive radio (CR), which relies on AMR responding to changes in the surrounding environment and then adjust strategies simultaneously.
Hao Gu, Yu Wang, Sheng Hong, Guan Gui
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Drones, 2023 In this paper, we investigate the deep learning applications of radio automatic modulation recognition (AMR) applications in unmanned aerial vehicle (UAV)-to-ground AMR systems.
Yongjian Shen +5 more
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Deep Learning Aided Method for Automatic Modulation Recognition
IEEE Access, 2019 Automatic modulation recognition (AMR) is considered one of most important techniques in the non-cooperative wireless communication systems. Traditional algorithms, e.g., support vector machine (SVM) based on high order cumulants (HOC), are hard to ...
Cheng Yang +4 more
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A Survey of Applications of Deep Learning in Radio Signal Modulation Recognition
Applied Sciences, 2022 With the continuous development of communication technology, the wireless communication environment becomes more and more complex with various intentional and unintentional signals. Radio signals are modulated in different ways.
Tiange Wang +5 more
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MOD3NN: A Framework for Automatic Signal Modulation Detection Using 3D CNN
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 In this work, we present an application of a three-dimensional convolutional neural network for the task of automatic modulation recognition from raw I/Q signal data.
Vishal Perekadan +5 more
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Automatic Modulation Recognition Based on Deep Learning [PDF]
Jisuanji kexue, 2022 Automatic modulation recognition (AMR) is critical to realize efficient spectrum sensing,spectrum management and spectrum utilization in non-cooperative communication scenarios.It is also an important prerequisite for efficient signal proces-sing ...
JIAO Xiang, WEI Xiang-lin, XUE Yu, WANG Chao, DUAN Qiang
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