Multi-Feature Fusion for Enhanced Feature Representation in Automatic Modulation Recognition
TL;DR
Multi-feature fusion improves automatic modulation recognition by combining features to enhance representation, overcoming traditional manual methods and advancing deep learning solutions for efficient spectrum management.
Multi-Feature Fusion for Enhanced Feature Representation in Automatic Modulation Recognition
Jiuxiao Cao; Rui Zhu; Lingfeng Wu; Jun Wang; Guohao Shi; Peng Chu; Kang Zhao
https://doi.org/10.1109/ACCESS.2024.3517634
Volume 13
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 as a promising solution. Nonetheless, most existing deep learning-based modulation recognition stud...