Rogue Emitter Detection Using Hybrid Network of Denoising Autoencoder and Deep Metric Learning-Reference-Cited by-同舟云学术

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Rogue Emitter Detection Using Hybrid Network of Denoising Autoencoder and Deep Metric Learning

Published:2023-05-28 Issue: Volume: Page:
ISSN:
Container-title:ICC 2023 - IEEE International Conference on Communications
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Author:

Yang Zeyang¹,Fu Xue¹,Gui Guan¹,Lin Yun²,Gacanin Haris³,Sari Hikmet¹,Adachi Fumiyuki⁴

Affiliation:

1. College of Telecommunications and Information Engineering, NJUPT,Nanjing,China

2. College of Information and Communication Engineering, Harbin Engineering University,Harbin,China

3. Institute for Communication Technologies and Embedded Systems, RWTH Aachen University,Aachen,Germany

4. International Research Institute of Disaster Science (IRIDeS, Tohoku University,Sendai,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10278505/10278554/10278847.pdf?arnumber=10278847

Reference24 articles.

1. Specific Emitter Identification Based on Complex Fourier Neural Network

2. The three sigma rule;pukelsheim;Amer Statistician,1994

3. A Hierarchical Classification Head Based Convolutional Gated Deep Neural Network for Automatic Modulation Classification

4. Visualizing data using t-SNE;maaten;Journal of Machine Learning Research,2008

5. Isolation Forest

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