FedeAMR-CFF: A Federated Automatic Modulation Recognition Method Based on Characteristic Feature Fine-Tuning [PDF]
SensorsModulation recognition technology, as one of the core technologies in the field of wireless communications, holds significant importance in intelligent communication systems such as link adaptation and IoT devices.
Meng Zhang +3 more
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Automatic Modulation Open-Set Recognition Based on Random Convolutional Prototype Network-MultiOCSVM
IEEE AccessAutomatic Modulation Recognition (AMR) is a crucial technology in signal recognition for detecting target signals in radio communications. The accuracy of AMR has been improved by using machine and deep learning methods. However, these methods often have
Jiajie Sun, Liangzhong Cui, Yameng Niu
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DualBranch-AMR: A Semi-Supervised AMR Method Based on Dual-Student Consistency Regularization with Dynamic Stability Evaluation [PDF]
SensorsModulation recognition, as one of the key technologies in the field of wireless communications, holds significant importance in applications such as spectrum resource management, interference suppression, and cognitive radio.
Jiankun Ma +6 more
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Holistic Fusion of Fragmented Signal Features for Automatic Modulation Recognition via an Adaptive Topological Network [PDF]
SensorsAutomatic modulation recognition (AMR) remains challenging under low-signal-to-noise ratio (SNR) conditions, where severe noise can obscure weak modulation-specific waveform patterns. To address this issue, this paper proposes an Adaptive Holistic Fusion
Xiang Liu +5 more
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Enhancing Automatic Modulation Recognition for IoT Applications Using Transformers [PDF]
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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Defending AI-Based Automatic Modulation Recognition Models Against Adversarial Attacks [PDF]
IEEE Access, 2023 Automatic Modulation Recognition (AMR) is one of the critical steps in the signal processing chain of wireless networks, which can significantly improve communication performance. AMR detects the modulation scheme of the received signal without any prior
Haolin Tang +4 more
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RAFF-AMACNet: Adaptive Multi-Rate Atrous Convolution Network with Residual Attentional Feature Fusion for Satellite Signal Recognition [PDF]
SensorsWith the launch of an increasing number of satellites to establish complex satellite communication networks, automatic modulation recognition (AMR) plays a crucial role in satellite signal recognition and spectrum management.
Leyan Chen +6 more
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Automatic modulation recognition using deep CVCNN-LSTM architecture
Alexandria Engineering JournalAutomatic modulation recognition (AMR) stands as a pivotal operation within industrial cognitive radio systems. State-of-the-art real-valued convolutional neural networks (CNNs) have innovated modulation recognition but view complex signal components as ...
Rujiao Cheng, Qi Chen, Min Huang
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Automatic Modulation Recognition Based on the Optimized Linear Combination of Higher-Order Cumulants [PDF]
Sensors, 2022 Automatic modulation recognition (AMR) is used in various domains—from general-purpose communication to many military applications—thanks to the growing popularity of the Internet of Things (IoT) and related communication technologies.
Asad Hussain +7 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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