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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
Automatic Modulation Classification: Convolutional Deep Learning Neural Networks Approaches [PDF]
IEEE Access, 2023 This study proposes robust convolutional neural network (CNN)-based automatic modulation classification (AMC) techniques. Traditional AMCs may be classified into two types: those that rely on ML (maximum likelihood-based AMCs) and those that rely on ...
Hany S. Hussein +5 more
doaj +2 more sources
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
doaj +1 more source
Robust Automatic Modulation Classification in Low Signal to Noise Ratio
IEEE Access, 2023 In a non-cooperative communication environment, automatic modulation classification (AMC) is an essential technology for analyzing signals and classifying different kinds of signal modulation before they are demodulated.
To Truong An, Byung Moo Lee
doaj +1 more source
Automatic modulation classification using techniques from image classification
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
doaj +1 more source
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
doaj +1 more source
Robust automatic modulation classification under noise mismatch
EURASIP Journal on Advances in Signal Processing, 2023 Automatic modulation classification plays a critical role in the intelligent reception of unknown wireless signals. In practice, the dynamic wireless environment brings a great challenge, and the actual test model is inconsistent with the training model.
Lan Guo, Rui Gao, Yang Cong, Lei Yang
doaj +1 more source