A Scalable and Accurate Chessboard-Based AMC Algorithm With Low Computing Demands
Automatic Modulation Classification (AMC) is a technique used to identify signal
modulations in applications like IoT devices, cognitive radar, software-defined radio, and …
modulations in applications like IoT devices, cognitive radar, software-defined radio, and …
A lightweight CNN architecture for automatic modulation classification
Z Wang, D Sun, K Gong, W Wang, P Sun - Electronics, 2021 - mdpi.com
Automatic modulation classification (AMC) algorithms based on deep learning (DL) have
been widely studied in the past decade, showing significant performance advantage …
been widely studied in the past decade, showing significant performance advantage …
Automatic modulation recognition based on adaptive attention mechanism and ResNeXt WSL model
Z Liang, M Tao, L Wang, J Su… - IEEE Communications …, 2021 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) plays an important role in modern wireless
communication. In this letter, a novel framework for AMR is proposed. The ResNeXt network …
communication. In this letter, a novel framework for AMR is proposed. The ResNeXt network …
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 …
Time and phase features network model for automatic modulation classification
T Cui, D Wang, L Ji, J Han, Z Huang - Computers and Electrical …, 2023 - Elsevier
Abstract Automatic Modulation Classification (AMC) constitutes a fundamental technology
for enabling automatic demodulation in Cognitive Communication Systems (CCS). Due to …
for enabling automatic demodulation in Cognitive Communication Systems (CCS). Due to …
A hierarchical classification head based convolutional gated deep neural network for automatic modulation classification
Automatic modulation classification (AMC) identifies a received signal's modulation scheme
without prior knowledge of the intercepted signal, which enables significant applications in …
without prior knowledge of the intercepted signal, which enables significant applications in …
MLResNet: An Efficient Method for Automatic Modulation Classification Based on Residual Neural Network
ML Xue, M Huang, JJ Yang… - 2021 2nd International …, 2021 - ieeexplore.ieee.org
In the face of a complex electromagnetic environment, the modulation mode of
communication signals is becoming increasingly complicated. Existing modulation mode …
communication signals is becoming increasingly complicated. Existing modulation mode …
Using Early Exits for Fast Inference in Automatic Modulation Classification
E Mohammed, O Mashaal… - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
Automatic modulation classification (AMC) plays a critical role in wireless communications
by autonomously classifying signals transmitted over the radio spectrum. Deep learning (DL) …
by autonomously classifying signals transmitted over the radio spectrum. Deep learning (DL) …
A noise-robust modulation signal classification method based on continuous wavelet transform
C Peng, W Cheng, Z Song… - 2020 IEEE 5th Information …, 2020 - ieeexplore.ieee.org
The feature extraction of Automatic Modulation Classification (AMC) is difficult, and the
classification performance is poor, particularly for low SNRs and fading channels. To solve …
classification performance is poor, particularly for low SNRs and fading channels. To solve …
Convolutional neural network for joint communication and radar signals classification
Automatic modulation classification (AMC) plays an important role in the development of
cognitive radio and cognitive radar systems. Due to the distinct aims of radar and …
cognitive radio and cognitive radar systems. Due to the distinct aims of radar and …