Results 11 to 20 of about 17,994 (253)
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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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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Domain Adaptation-Based Automatic Modulation Recognition [PDF]
Scientific Programming, 2021 Deep learning-based Automatic Modulation Recognition (AMR) can improve the recognition rate compared with traditional AMR methods. However, in practical applications, as training samples and real scenario signal samples have different distributions in practical applications, the recognition rate for target domain samples can deteriorate significantly ...
Tong Li, Yingzhe Xiao
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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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Automatic Modulation Recognition Method Based on Multimodal Time-Frequency Feature Fusion [PDF]
Jisuanji kexue, 2023 Automatic modulation recognition (AMR) is a key technology in cognitive radio and has a wide range of applications in wireless communication.Aiming at the problem that most of the existing automatic modulation classification methods only use the single ...
HE Chao, CHEN Jinjie, JIN Zhao, LEI Yinjie
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Automation modulation recognition of the communication signals based on deep learning
Dianzi Jishu Yingyong, 2019 Automatic modulation recognition of the multi-system communication signals based on feature extraction and pattern recognition is an important research topic in the field of software radio.
Yao Yuchen, Peng Hu
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Automatic Modulation Recognition Based on CNN and GRU
Tsinghua Science and Technology, 2022 Based on a comparative analysis of the Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks, we optimize the structure of the GRU network and propose a new modulation recognition method based on feature extraction and a deep learning ...
Fugang Liu, Ziwei Zhang, Ruolin Zhou
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Applied Sciences, 2019 Recently, automatic modulation recognition has been an important research topic in wireless communication. Due to the application of deep learning, it is prospective of using convolution neural networks on raw in-phase and quadrature signals in ...
Mingxuan Li +3 more
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