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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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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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
doaj +2 more sources
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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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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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 Based on a DCN-BiLSTM Network [PDF]
Sensors, 2021 Automatic modulation recognition (AMR) is a significant technology in noncooperative wireless communication systems. This paper proposes a deep complex network that cascades the bidirectional long short-term memory network (DCN-BiLSTM) for AMR.
Kai Liu, Wanjun Gao, Qinghua Huang
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Deep Learning-Aided Modulation Recognition for Non-Orthogonal Signals [PDF]
Sensors, 2023 Automatic Modulation Recognition (AMR) can obtain the modulation mode of the received signal for subsequent processing without the assistance of the transmitter. Although the existing AMR methods have been mature for the orthogonal signals, these methods
Jiaqi Fan +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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