Improved automatic modulation recognition using deep learning with additive attention

Improved automatic modulation recognition using deep learning with additive attention

Automatic Modulation Recognition (AMR) is a critical task in modern communication systems, enabling applications such as cognitive radio, spectrum monitoring, and IoT networks. This paper proposes ICRNNA, a novel deep learning model that integrates Convolutional Neural Networks (CNNs), Bidirectional...

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Bibliographic Details
Main Authors: Noureddine El-Haryqy, Anass Kharbouche, Hamza Ouamna, Zhour Madini, Younes Zouine
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Results in Engineering
Subjects:
Automatic modulation recognition
Bidirectional long short-term memory networks
Convolutional neural networks
Deep learning
Enhanced attention mechanism
Signal-to-noise ratio
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025008606
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