PSPNet: Pretraining and Self-Supervised Fine-Tuning-Based Prototypical Network for Radar Active Deception Jamming Recognition With Few Shots-Reference-Cited by-同舟云学术

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PSPNet: Pretraining and Self-Supervised Fine-Tuning-Based Prototypical Network for Radar Active Deception Jamming Recognition With Few Shots

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Xiao Siyao¹^ORCID,Zhang Shunsheng¹^ORCID,Jiang Mingyu¹,Wang Wen-Qin²^ORCID

Affiliation:

1. Research Institute of Electronic Science and Technology, University of Electronic Science and Technology of China, Chengdu, China

2. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P. R. China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10522754.pdf?arnumber=10522754

Reference19 articles.

1. Active Deception Jamming Recognition in the Presence of Extended Target

2. Joint Optimal and Adaptive 2-D Spatial Filtering Technique for FDA-MIMO SAR Deception Jamming Separation and Suppression

3. Compound Jamming Signal Recognition Based on Neural Networks

4. Classification of radar jammer FM signals using a neural network

5. Research on electronic jamming identification based on CNN

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