Application of a Transfer Learning Model Combining CNN and Self-Attention Mechanism in Wireless Signal Recognition

Application of a Transfer Learning Model Combining CNN and Self-Attention Mechanism in Wireless Signal Recognition

In this paper, we propose TransConvNet, a hybrid model combining Convolutional Neural Networks (CNNs), self-attention mechanisms, and transfer learning for wireless signal recognition under challenging conditions. The model effectively addresses challenges such as low signal-to-noise ratio (SNR), lo...

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Bibliographic Details
Main Authors: Wu Wei, Chenqi Zhu, Lifan Hu, Pengfei Liu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
convolutional neural network
self-attention
wireless signal recognition
low SNR
low sampling rate
Online Access:https://www.mdpi.com/1424-8220/25/13/4202
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