VAE-based Multi-domain Feature Alignment and Generative Network for Few-Shot Radar Models Identification-Reference-Cited by-同舟云学术

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VAE-based Multi-domain Feature Alignment and Generative Network for Few-Shot Radar Models Identification

Published:2023-10-20 Issue: Volume:7 Page:309-315
ISSN:
Container-title:2023 3rd International Conference on Intelligent Power and Systems (ICIPS)
language:
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Author:

Zhang Yifang¹,Fan Xiyu²,Zhang Xiangrong²,Xu Caijin¹,Wang Guanchun²

Affiliation:

1. The 29th Research Institute of CETC,Chengdu,China

2. Xidian University,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education,International Research Center for Intelligent Perception and Computation,Xi’an,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10404091/10404082/10405264.pdf?arnumber=10405264

Reference11 articles.

1. Radar waveform recognition based on time-frequency analysis and artificial bee colony-support vector machine [J];Lutao;Electronics,2018

2. A Study of Emitter Recognition Based on Characteristic Parameter Matching Method;Ding;Modern Radar,2011

3. Radar waveform recognition based on time-frequency analysis and artificial bee colony-support vector machine [J];Lutao;Electronics,2018

4. Matching networks for one shot learning;Vinyals;Advances in neural information processing systems,2016

5. Prototypical networks for few-shot learning;Snell;Advances in neural information processing systems,2017

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