Multi-Feature Fusion for Enhanced Feature Representation in Automatic Modulation Recognition

Multi-Feature Fusion for Enhanced Feature Representation in Automatic Modulation Recognition

Modulation recognition plays a crucial role in the efficient management of spectrum resources. However, traditional methods have long posed challenges for researchers due to their excessive reliance on manual effort. With the advancement of deep learning, automatic modulation recognition has emerged...

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Bibliographic Details
Main Authors: Jiuxiao Cao, Rui Zhu, Lingfeng Wu, Jun Wang, Guohao Shi, Peng Chu, Kang Zhao
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Modulation recognition
deep learning
attention mechanism
multi-input network
concatenated
USRP
Online Access:https://ieeexplore.ieee.org/document/10802896/
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https://ieeexplore.ieee.org/document/10802896/

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