Deep Learning-Based Modulation Recognition for MIMO Systems: Fundamental, Methods, Challenges

X Zhang, Z Luo, W Xiao, L Feng - IEEE Access, 2024 - ieeexplore.ieee.org
In non-cooperative communication systems such as radio spectrum resource regulation and
modern electronic warfare, automatic modulation recognition is a key technology. Traditional …

Automatic modulation recognition based on CNN and GRU

F Liu, Z Zhang, R Zhou - Tsinghua Science and Technology, 2021 - ieeexplore.ieee.org
Based on a comparative analysis of the Long Short-Term Memory (LSTM) and Gated
Recurrent Unit (GRU) networks, we optimize the structure of the GRU network and propose …

Automatic modulation classification using KELM with joint features of CNN and LBP

C Hou, Y Li, X Chen, J Zhang - Physical Communication, 2021 - Elsevier
Signal automatic modulation classification refers to modulation methods which can
automatically classify and identify different communication signals. As the middle part of the …

Dendrogram-based Artificial Neural Network modulation classification for dual-hop cooperative relaying communications

H Moulay, AB Djebbar, B Dehri, I Dayoub - Physical Communication, 2022 - Elsevier
This paper contributes to the growing field of Artificial Neural Networks (ANNs) strategies of
Automatic Modulation Identification (AMI) for Cognitive Radio (CR). Traditional AMI-based …

Hierarchical classification of analog and digital modulation schemes using higher-order statistics and support vector machines

B Yalcinkaya, RB Coruk, A Kara, H Tora - Wireless Personal …, 2024 - Springer
Automatic modulation classification (AMC) algorithms are crucial for various military and
commercial applications. There have been numerous AMC algorithms reported in the …

Acoustic modulation signal recognition based on endpoint detection

L Xiuquan, W Zhen, J Yeyin, C Jing, L Zhenfei - Scientific Reports, 2024 - nature.com
The modulation recognition technology for acoustic signals holds significant research
importance in signal demodulation and communication signal reconnaissance, serving as a …

Mobile signal modulation recognition based on multimodal feature fusion

Z Cai, Y Li, Q Wu - Mobile Networks and Applications, 2022 - Springer
In mobile communication, automatic modulation recognition of mobile signals has always
attracted attention. In the more and more complex electronic environment, the researchers …

Automatic modulation classification for MIMO system based on the mutual information feature extraction

N Ussipov, S Akhtanov, Z Zhanabaev… - IEEE …, 2024 - ieeexplore.ieee.org
Automatic Modulation Classification (AMC) is an essential technology that is widely applied
into various communications scenarios. In recent years, many Machine Learning and Deep …

Sensing-based Feature Engineering and Asynchronous OFDM Blind Modulation Classification Using SMOTE-DNN

Y Yang, J Yang, C Xu, X Shen - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Blind modulation classification (BMC) is a key technology for communication perception
intelligence, cognitive radio and electronic countermeasures. With the wide applications of …

A Systematic Review of Relay-Aided Dual-Hop FSO Device-to-Device Communication Systems Using STLC and STBC Techniques.

MA Atiyah, LF Abdulameer - Mathematical Modelling of …, 2024 - search.ebscohost.com
This study explores the use of optical relay devices to provide dual-hop communication
between two devices using an FSO link without a base station. The central theme of this …