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Radar emitter and activity identification using deep clustering methods
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, 2019Current challenges in spectrum monitoring include radar emitter state identification and the ability to detect changes in radar activity. Recently, large labeled datasets and better compute power have led to improvements in the classification performance of deep neural network (DNN) models on structured data like time series and images. The reliance on
Diego Marez +4 more
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Radar Emitter Signals Identification Based on Gray Relational Cluster Analysis
Advanced Materials Research, 2012To enhance accurate Deinterleaving and identification rate of radar emitter signals to meet the requirements of modern electronic warfare, a novel method for radar emitter signals identification recognition is presented in this work. Firstly, instantaneous frequencies of radar signals are analyzed.
Si Dong Wu, Zhu Ming, Ke Chang Fu
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An Anti-Multipath Radar Specific Emitter Identification Method
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ), 2022Zhao Liu +3 more
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Radar Emitter Signal Identification Based on Intra-pulse Features
2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC), 2022Qingang Shi, Jiafen Zhang
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Measurement: Journal of the International Measurement Confederation, 2020
Shiqiang Zhao +2 more
exaly
Shiqiang Zhao +2 more
exaly
Specific Identification of Radar Emitters Based on Manifold Learning Method
2021 4th International Conference on Information Communication and Signal Processing (ICICSP), 2021Yiwei Hu +3 more
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Radar specific emitter identification based on open-selective kernel residual network
Digital Signal Processing, 2023Xiao Han +3 more
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New radar emitter identification method
Journal of Image and Graphics, 2020Xinyu Gao +3 more
semanticscholar +1 more source
IEEE Transactions on Aerospace and Electronic Systems
Shu-ming Zhuang +3 more
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Shu-ming Zhuang +3 more
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