A Radio Signal Recognition Approach Based on Complex-Valued CNN and Self-Attention Mechanism

Automatic modulation recognition (AMR) of radio signals is becoming increasingly important due to its key role in wireless communication system management, monitoring, and control. In this paper, we propose an end-to-end AMR framework based on deep learning (DL), named CCNN-Atten. First, the complex...

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Veröffentlicht in:	IEEE transactions on cognitive communications and networking 2022-09, Vol.8 (3), p.1358-1373
Hauptverfasser:	Liang, Zhi, Tao, Mingliang, Xie, Jian, Yang, Xin, Wang, Ling
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Automatic modulation recognition complex-valued convolutional neural network Complexity Convolution Convolutional neural networks Data mining deep learning Feature extraction Modulation Modules multi-head attention mechanism Neural networks Radio signals Wireless communication Wireless communication systems
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