Deep learning based automatic modulation recognition: Models, datasets, and challenges
F Zhang, C Luo, J Xu, Y Luo, FC Zheng - Digital Signal Processing, 2022 - Elsevier
Automatic modulation recognition (AMR) detects the modulation scheme of the received
signals for further signal processing without needing prior information, and provides the …
signals for further signal processing without needing prior information, and provides the …
Machine learning based automatic modulation recognition for wireless communications: A comprehensive survey
The rapid development of information and wireless communication technologies together
with the large increase in the number of end-users have made the radio spectrum more …
with the large increase in the number of end-users have made the radio spectrum more …
A spatiotemporal multi-channel learning framework for automatic modulation recognition
J Xu, C Luo, G Parr, Y Luo - IEEE Wireless Communications …, 2020 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) plays a vital role in modern communication
systems. This letter proposes a novel three-stream deep learning framework to extract the …
systems. This letter proposes a novel three-stream deep learning framework to extract the …
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 …
The importance of expert knowledge for automatic modulation open set recognition
Automatic modulation classification (AMC) is an important technology for the monitoring,
management, and control of communication systems. In recent years, machine learning …
management, and control of communication systems. In recent years, machine learning …
Complex-valued Depth-wise Separable Convolutional Neural Network for Automatic Modulation Classification
C Xiao, S Yang, Z Feng - IEEE Transactions on Instrumentation …, 2023 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is a critical task in industrial cognitive
communication systems. Existing state-of-the-art methods, typified by real-valued …
communication systems. Existing state-of-the-art methods, typified by real-valued …
Spectrum sensing and signal identification with deep learning based on spectral correlation function
Spectrum sensing is one of the means of utilizing the scarce source of wireless spectrum
efficiently. In this paper, a convolutional neural network (CNN) model employing spectral …
efficiently. In this paper, a convolutional neural network (CNN) model employing spectral …
Toward the Automatic Modulation Classification With Adaptive Wavelet Network
With the evolutionary development of modern communications technology, automatic
modulation classification (AMC) has played an increasing role in the complex wireless …
modulation classification (AMC) has played an increasing role in the complex wireless …
Automatic modulation classification: Cauchy-Score-function-based cyclic correlation spectrum and FC-MLP under mixed noise and fading channels
S Luan, Y Gao, T Liu, J Li, Z Zhang - Digital Signal Processing, 2022 - Elsevier
Automatic modulation classification (AMC), also termed blind signal modulation recognition,
plays a critical role in various civilian and military applications. Although existing …
plays a critical role in various civilian and military applications. Although existing …
[PDF][PDF] Automatic Modulation Classification of Real Signals in AWGN Channel Based on Sixth-Order Cumulants.
M Simic, M Stanković, VD Orlic - Radioengineering, 2021 - radioeng.cz
Automatic modulation classification (AMC) represents an important integral part of modern
communication systems. While novel AMC algorithms based on complex neural network …
communication systems. While novel AMC algorithms based on complex neural network …