2023
DOI: 10.1109/access.2023.3332643
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Dilated CNN Design Approach for Extracting Multi-Scale Features in Radar Emitter Classification

Enze Guo,
Hao Wu,
Ming Guo
et al.

Abstract: Radar emitter classification plays an increasingly significant role in the electronic reconnaissance system. Due to many convolutional neural network (CNN)-based approaches suffer from insufficient spatial receptive fields and inadequate feature representation, the classification accuracy is poor in low signal-to-noise ratio (SNR) conditions. Therefore, in this paper, we stress the importance of multiscale dilated convolutions for target feature extraction, and propose two novel CNN architecture design approac… Show more

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