Few-shot automatic modulation classification using architecture search and knowledge transfer in radar-communication coexistence scenarios

X Zhang, Y Wang, H Huang, Y Lin… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Automatic modulation classification (AMC) holds a significant position in physical-layer
security, offering an innovative method to enhance the security of data transmission and anti …

Complex convolutional neural network for signal representation and its application to radar emitter recognition

Z Zhu, H Ji, W Zhang, L Li, T Ji - IEEE Communications Letters, 2023 - ieeexplore.ieee.org
Signal representation and identification in wireless communication has recently aroused
substantial concern due to the remarkable evolution of data-driven techniques. Consider …

Automatic modulation recognition of dual-component radar signals using ResSwinT–SwinT network

B Ren, KC Teh, H An… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Automatic modulation recognition plays an important role in military and civilian
applications, identifying the modulation format of received signals before signal …

TDRA: transformer based deep recurrent architecture for automatic modulation classification (AMC) pertinent to intelligent reflecting surface assisted internet of things …

D Sarkar, SS Yadav, LR Cenkeramaddi… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In wireless networks, automatic modulation classification (AMC) is crucial for enabling
intelligent signal demodulation, thereby enhancing the system's adaptability across various …

High-resolution feature pyramid network for small object detection on drone view

Z Chen, H Ji, Y Zhang, Z Zhu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Object detection has developed rapidly with the help of deep learning technologies recent
years. However, object detection on drone view remains challenging due to two main …

Modulation classification for overlapped signals using deep learning

G Jajoo, P Singh - IEEE Open Journal of the Communications …, 2024 - ieeexplore.ieee.org
Modulation recognition (MR) plays a pivotal role in tasks encompassing spectrum
management, security enforcement, and interference mitigation. This research work …

A complex-valued convolutional fusion-type multi-stream spatiotemporal network for automatic modulation classification

Y Wang, S Fang, Y Fan, M Wang, Z Xu, S Hou - Scientific Reports, 2024 - nature.com
Abstract Automatic Modulation Classification (AMC) is crucial in non-cooperative
communication systems as it facilitates the identification of interference signals with minimal …

Automatic Modulation Recognition Based on Deep-Learning Features Fusion of Signal and Constellation Diagram

H Han, Z Yi, Z Zhu, L Li, S Gong, B Li, M Wang - Electronics, 2023 - mdpi.com
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 …

Automatic modulation classification with deep neural networks

CA Harper, MA Thornton, EC Larson - Electronics, 2023 - mdpi.com
Automatic modulation classification is an important component in many modern aeronautical
communication systems to achieve efficient spectrum usage in congested wireless …

Modulation recognition network of multi-scale analysis with deep threshold noise elimination

X Li, Y Li, C Tang, Y Li - Frontiers of Information Technology & Electronic …, 2023 - Springer
To improve the accuracy of modulated signal recognition in variable environments and
reduce the impact of factors such as lack of prior knowledge on recognition results …