Deep Fusion for Radar Jamming Signal Classification Based on CNN
The accurate classification of radar jamming signal is a core step of anti-jamming. Recently, convolutional neural network (CNN) based methods have shown their powerfulness in signal processing. In this paper, a deep fusion method based on CNN is proposed to classify jamming signal acting on pulse c...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9123892/ |