Multiresolution Jamming Recognition with Few-shot Learning
Author:
Affiliation:
1. Xidian University,National Laboratory of Radar Signal Processing,Xi'an,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10027857/10027626/10027919.pdf?arnumber=10027919
Reference10 articles.
1. Low-Shot Learning from Imaginary Data
2. Compound Jamming Signal Recognition Based on Neural Networks;fu;Proc 6th Int Conf Instrum Meas Comput Commun Control (IMCCC),0
3. Prototypical networks for few-shot learning;snell;Advances in neural information processing systems,2017
4. A recognition algorithm of deception jamming based on image of time-frequency distribution
5. Research on Jamming Recognition Technology Based on Characteristic Parameters
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. PSPNet: Pretraining and Self-Supervised Fine-Tuning-Based Prototypical Network for Radar Active Deception Jamming Recognition With Few Shots;IEEE Geoscience and Remote Sensing Letters;2024
2. Radar Active Jamming Recognition under Open World Setting;Remote Sensing;2023-08-21
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