Dilated CNN Design Approach for Extracting Multi-Scale Features in Radar Emitter Classification
Author:
Affiliation:
1. The 63893 Forces of PLA, Luoyang, China
2. The 63896 Forces of PLA, Luoyang, China
Funder
111 Project of China
Key Laboratory of Satellite Information Intelligent Processing and Application Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10318089.pdf?arnumber=10318089
Reference43 articles.
1. Electronic radar signal recognition based on wavelet transform and convolution neural network
2. Towards Single-Component and Dual-Component Radar Emitter Signal Intra-Pulse Modulation Classification Based on Convolutional Neural Network and Transformer
3. A Novel Aggregated Multipath Extreme Gradient Boosting Approach for Radar Emitter Classification
4. Balanced Neural Architecture Search and Its Application in Specific Emitter Identification
5. Underwater target classification using wavelet packets and neural networks
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