Radar Signal Intra-Pulse Modulation Recognition Based on Convolutional Denoising Autoencoder and Deep Convolutional Neural Network

Radar signal intra-pulse modulation recognition is an important technology in electronic warfare. A radar signal intra-pulse modulation recognition method based on convolutional denoising autoencoder (CDAE) and deep convolutional neural network (DCNN) is proposed in this paper. First, we use Cohen&#...

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Veröffentlicht in:	IEEE access Jg. 7; S. 112339 - 112347
Hauptverfasser:	Qu, Zhiyu, Wang, Wenyang, Hou, Changbo, Hou, Chenfan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Classification Codes Cohen class time frequency distribution convolutional denoising autoencoder deep convolutional neural network Electronic warfare Feature extraction Frequency distribution Interpolation Modulation Neural networks Noise Noise reduction Pulse modulation Radar imaging Radar signal recognition Recognition Signal to noise ratio Time-frequency analysis
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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