Open Set Domain Adaptation for Automatic Modulation Classification in Dynamic Communication Environments

M Zhang, P Tang, G Wei, X Ni, G Ding… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is gaining greater significance in both military
and civilian contexts. However, the diversity and dynamics of actual wireless communication …

SigDA: A Superimposed Domain Adaptation Framework for Automatic Modulation Classification

S Wang, H Xing, C Wang, H Zhou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to the uncertainty of non-cooperative communication channels, the received signals
often contain various impairment factors, leading to a significant decline in the performance …

MM-Net: A Multi-Modal approach towards Automatic Modulation Classification

K Triaridis, C Doumanidis… - IEEE …, 2023 - ieeexplore.ieee.org
Automatic Modulation Classification (AMC) has become an important component in
communication systems for both civil and defense applications. The shortcomings of …

STARNet: An Efficient Spatiotemporal Feature Sharing Reconstructing Network for Automatic Modulation Classification

X Zhang, Z Wang, X Wang, T Luo… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Automatic Modulation Classification (AMC) is a crucial task in the field of wireless
communication, allowing for the identification of the modulation scheme of a received radio …

A family of automatic modulation classification models based on domain knowledge for various platforms

S Wei, Z Wang, Z Sun, F Liao, Z Li, L Zou, H Mi - Electronics, 2023 - mdpi.com
Identifying the modulation type of radio signals is challenging in both military and civilian
applications such as radio monitoring and spectrum allocation. This has become more …

Amc-net: An effective network for automatic modulation classification

J Zhang, T Wang, Z Feng, S Yang - ICASSP 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is a crucial stage in the spectrum management,
signal monitoring, and control of wireless communication systems. The accurate …

Toward next-generation signal intelligence: A hybrid knowledge and data-driven deep learning framework for radio signal classification

S Zheng, X Zhou, L Zhang, P Qi, K Qiu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Automatic modulation classification (AMC) can generally be divided into knowledge-based
methods and data-driven methods. In this paper, we explore combining the knowledge …

ConvLSTMAE: A spatiotemporal parallel autoencoders for automatic modulation classification

S Yunhao, X Hua, J Lei, Q Zisen - IEEE Communications …, 2022 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is the key technique in both military and civilian
wireless communication. However, the performance is unsatisfactory, even several deep …

Toward the Automatic Modulation Classification With Adaptive Wavelet Network

J Zhang, T Wang, Z Feng, S Yang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the evolutionary development of modern communications technology, automatic
modulation classification (AMC) has played an increasing role in the complex wireless …

Automatic modulation classification: A deep learning enabled approach

F Meng, P Chen, L Wu, X Wang - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Automatic modulation classification (AMC), which plays critical roles in both civilian and
military applications, is investigated in this paper through a deep learning approach …