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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Signal Automatic Modulation Classification and Recognition in View of Deep Learning
IEEE Access, 2023 With the advancement of 5G technology, wireless communication resources such as channels and spectrum become scarce. This necessitates ensuring the efficiency and security of signal modulation and demodulation, which imposes higher requirements for ...
Tianpei Xu, Ying Ma
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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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Adaptive procedure for automatic modulation recognition
Journal of Telecommunications and Information Technology, 2004 An adaptive procedure for automatic modulation recognition is described. With it the automatic modulation classification and recognition of radio communication signals with a priori unknown parameters is possible effectively.
Ferdinand Liedtke
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Automatic Modulation Recognition Using Compressive Cyclic Features [PDF]
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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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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A Novel Attention Cooperative Framework for Automatic Modulation Recognition [PDF]
IEEE Access, 2020 Modulation recognition plays an indispensable role in the field of wireless communications. In this paper, a novel attention cooperative framework based on deep learning is proposed to improve the accuracy of the automatic modulation recognition (AMR ...
Shiyao Chen +4 more
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Universal and complementary representation learning for automatic modulation recognition
Electronics Letters, 2023 Automatic modulation recognition (AMR) is a fundamental research topic in the field of signal processing and wireless communication, which has widespread applications in cognitive radio, non‐collaborative communication etc. In this paper, the focus is on
Bohan Liu +4 more
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Deep Learning Aided Method for Automatic Modulation Recognition [PDF]
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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Generative Adversarial Networks-Based Semi-Supervised Automatic Modulation Recognition for Cognitive Radio Networks [PDF]
Sensors, 2018 Ce Zhang
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