Results 1 to 10 of about 123 (86)
Deep Learning-Based Automatic Modulation Recognition Method in the Presence of Phase Offset
IEEE Access, 2020 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 environments.
Jie Shi +5 more
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Applied Sciences, 2023 The application of deep neural networks to address automatic modulation recognition (AMR) challenges has gained increasing popularity. Despite the outstanding capability of deep learning in automatic feature extraction, predictions based on low-data ...
Shengyun Wei +5 more
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Deep Learning for Robust Automatic Modulation Recognition Method for IoT Applications
IEEE Access, 2020 In the scenarios of non-cooperative wireless communications, automatic modulation recognition (AMR) is an indispensable algorithm to recognize various types of signal modulations before demodulation in many internet of things applications.
Tingping Zhang, Cong Shuai, Yaru Zhou
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Automatic Modulation Recognition Using Compressive Cyclic Features
Algorithms, 2017 Higher-order cyclic cumulants (CCs) have been widely adopted for automatic modulation recognition (AMR) in cognitive radio. However, the CC-based AMR suffers greatly from the requirement of high-rate sampling.
Lijin Xie, Qun Wan
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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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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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IET Radar, Sonar & Navigation, 2021 The newly developed cognitive radar (CR) can implement flexible work modes defined with a set of mode definition parameters. Each definition parameter can employ its modulation type and corresponding optimised modulating values. Automatic recognition and
Mengtao Zhu +3 more
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