A hybrid attention mechanism for blind automatic modulation classification
Author:
Affiliation:
1. School of Electronic Information Engineering Beijing Jiaotong University Beijing China
2. The 54th Research Institute of CETC Shijiazhuang China
Publisher
Wiley
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.4503
Reference33 articles.
1. On the detection and classification of quadrature digital modulations in broad-band noise
2. Algorithms for automatic modulation recognition of communication signals
3. Procedure for automatic recognition of analogue and digital modulations
4. Automatic modulation classification algorithm using higher-order cumulants under real-world channel conditions
5. DobreOA Bar‐NessY SuW. Higher‐order cyclic cumulants for high order modulation classification. Paper presented at: Proceedings of the Military Communications Conference 2003. MILCOM 2003; 2003; IEEE. Boston MA USA.
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1. Transfer Learning based Location-Aided Modulation Classification in Indoor Environments for Cognitive Radio Applications;Radioengineering;2023-12
2. An Efficient and Lightweight Model for Automatic Modulation Classification: A Hybrid Feature Extraction Network Combined with Attention Mechanism;Electronics;2023-08-30
3. Automatic modulation classification with 2D transforms and convolutional neural network;Transactions on Emerging Telecommunications Technologies;2022-08-22
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