Automatic modulation classification of radar signals utilizing X-net

Automatic modulation classification (AMC) of radar signals has long been a challenge, especially in the area of electronic reconnaissance, where collecting and labeling numerous signal samples are usually harsh and impracticable. In this article, a novel recognition network is proposed for detecting...

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Veröffentlicht in:	Digital signal processing Jg. 123; S. 103396
Hauptverfasser:	Chen, Kuiyu, Zhang, Jingyi, Chen, Si, Zhang, Shuning, Zhao, Huichang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 30.04.2022
Schlagworte:	Automatic modulation classification Measured data Noise level estimation Radar signals Residual learning convolutional denoising autoencoder Supplementary classification networks Radar signals Measured data Residual learning convolutional denoising autoencoder Supplementary classification networks Noise level estimation Automatic modulation classification
ISSN:	1051-2004
Online-Zugang:	Volltext
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