Lightweight automatic modulation classification via progressive differentiable architecture search
Automatic modulation classification (AMC) is a key step of signal demodulation that
determines whether the receiver can correctly receive the transmitted signal without prior …
determines whether the receiver can correctly receive the transmitted signal without prior …
Robust automatic modulation classification under varying noise conditions
Z Wu, S Zhou, Z Yin, B Ma, Z Yang - IEEE Access, 2017 - ieeexplore.ieee.org
Automatic modulation classification (AMC) plays a key role in non-cooperative
communication systems. Feature-based (FB) methods have been widely studied in …
communication systems. Feature-based (FB) methods have been widely studied in …
人工神经网络在调制识别中的应用综述.
张承畅, 余洒, 徐余, 罗元 - Journal of Chongqing University …, 2022 - search.ebscohost.com
面临无线通信技术的不断发展以及通信环境的复杂多变ꎬ 信号的调制方式呈现出多样化发展
态势ꎬ 在无线电频谱资源监管和现代电子战争等非合作通信系统中ꎬ 调制识别是其中非常关键 …
态势ꎬ 在无线电频谱资源监管和现代电子战争等非合作通信系统中ꎬ 调制识别是其中非常关键 …
Filtered multicarrier waveforms classification: a deep learning-based approach
Automatic signal recognition (ASR) plays an important role in various applications such as
dynamic spectrum access and cognitive radio, hence it will be a key enabler for beyond 5G …
dynamic spectrum access and cognitive radio, hence it will be a key enabler for beyond 5G …
Automatic modulation classification based on CNN-transformer graph neural network
D Wang, M Lin, X Zhang, Y Huang, Y Zhu - Sensors, 2023 - mdpi.com
In recent years, neural network algorithms have demonstrated tremendous potential for
modulation classification. Deep learning methods typically take raw signals or convert …
modulation classification. Deep learning methods typically take raw signals or convert …
Automatic Modulation Recognition Based on Deep-Learning Features Fusion of Signal and Constellation Diagram
In signal communication based on a non-cooperative communication system, the receiver is
an unlicensed third-party communication terminal, and the modulation parameters of the …
an unlicensed third-party communication terminal, and the modulation parameters of the …
Adaptive feature extraction and fine‐grained modulation recognition of multi‐function radar under small sample conditions
Q Zhai, Y Li, Z Zhang, Y Li… - IET Radar, Sonar & …, 2022 - Wiley Online Library
Multi‐function radars (MFRs) are sophisticated sensors with fine‐grained modes, which
modify their modulation types and parameters range generating various signals to fulfil …
modify their modulation types and parameters range generating various signals to fulfil …
Performance analysis and improvement of machine learning algorithms for automatic modulation recognition over Rayleigh fading channels
Automatic modulation recognition (AMR) is becoming more important because it is usable in
advanced general-purpose communication such as, cognitive radio, as well as, specific …
advanced general-purpose communication such as, cognitive radio, as well as, specific …
Multi-domain-fusion deep learning for automatic modulation recognition in spatial cognitive radio
S Hou, Y Dong, Y Li, Q Yan, M Wang, S Fang - Scientific Reports, 2023 - nature.com
Automatic modulation recognition (AMR) is a critical technology in spatial cognitive radio
(SCR), and building high-performance AMR model can achieve high classification accuracy …
(SCR), and building high-performance AMR model can achieve high classification accuracy …
An application of analytic wavelet transform and convolutional neural network for radar intrapulse modulation recognition
This article analyses the possibility of using the Analytic Wavelet Transform (AWT) and the
Convolutional Neural Network (CNN) for the purpose of recognizing the intrapulse …
Convolutional Neural Network (CNN) for the purpose of recognizing the intrapulse …