Automatic modulation classification using techniques from image classification [PDF]
IET Communications, 2022 Automatic Modulation Classification (AMC) is a rapidly evolving technology, which can be employed in software defined radio structures, especially in 5G and 6G technology.
Yilin Sun, Edward A Ball
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Deep Learning-Based Automatic Modulation Classification Using Robust CNN Architecture for Cognitive Radio Networks [PDF]
Sensors, 2023 Automatic modulation classification (AMC) is an essential technique in intelligent receivers of non-cooperative communication systems such as cognitive radio networks and military applications.
Ola Fekry Abd-Elaziz +2 more
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Deep Hierarchical Network for Automatic Modulation Classification [PDF]
IEEE Access, 2019 In non-cooperative communication scenarios, automatic modulation classification (AMC) is the premise of information acquisition. It has been a difficult issue for decades due to the attenuation and interference during wireless transmission. In this paper,
Jinbo Nie +5 more
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Automatic Modulation Classification Using Hybrid Data Augmentation and Lightweight Neural Network [PDF]
Sensors, 2023 Automatic modulation classification (AMC) plays an important role in intelligent wireless communications. With the rapid development of deep learning in recent years, neural network-based automatic modulation classification methods have become ...
Fan Wang +3 more
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Automatic Modulation Classification: A Deep Architecture Survey
IEEE Access, 2021 Automatic modulation classification (AMC), which aims to blindly identify the modulation type of an incoming signal at the receiver in wireless communication systems, is a fundamental signal processing technique in the physical layer to improve the ...
Thien Huynh-The +6 more
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Automatic Modulation Classification Based on CNN-Transformer Graph Neural Network [PDF]
Sensors, 2023 In recent years, neural network algorithms have demonstrated tremendous potential for modulation classification. Deep learning methods typically take raw signals or convert signals into time–frequency images as inputs to convolutional neural networks ...
Dong Wang +4 more
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Automatic Modulation Classification with Deep Neural Networks
Electronics (Switzerland), 2023 Automatic modulation classification is an important component in many modern aeronautical communication systems to achieve efficient spectrum usage in congested wireless environments and other communications systems applications. In recent years, numerous convolutional deep learning architectures have been proposed for automatically classifying the ...
Clayton A Harper +2 more
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Efficient Cumulant-Based Automatic Modulation Classification Using Machine Learning [PDF]
SensorsThis paper introduces a new technique for automatic modulation classification (AMC) in Cognitive Radio (CR) networks. The method employs a straightforward classifier that utilizes high-order cumulant for training.
Ben Dgani, Israel Cohen
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Wireless Signal Representation Techniques for Automatic Modulation Classification
IEEE Access, 2022 In this paper, we present a comprehensive survey and detailed comparison of techniques that have been applied to the problem of identifying the type of modulation contained within received wireless signals.
Xueyuan Liu +3 more
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Automatic Classification of 5G Waveform-Modulated Signals Using Deep Residual Networks [PDF]
SensorsModulation identification plays a crucial role in contemporary wireless communication systems, especially within 5G and future-generation networks that utilize a variety of multicarrier waveforms.
Haithem Ben Chikha +2 more
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