Recognition of radar active-jamming through convolutional neural networks

Recognition of radar active-jamming through convolutional neural networks

Radar application in modern warfare becomes more and more rigorous because of the rapidly developed radar countermeasures, especially active jamming in recent years. It costs a radar many resources for anti-jamming in order to detect a target. Hence, it is of great value to recognise the active jamm...

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Bibliographic Details
Main Authors: Yafeng Wang, Boye Sun, Ning Wang
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
electronic countermeasures
radar computing
learning (artificial intelligence)
radar signal processing
image classification
neural nets
jamming
numerous jamming
recognition jamming
radar researchers
convolutional neural networks
active jamming
anti-jamming process
radar active-jamming
radar application
rapidly developed radar countermeasures
radar many resources
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0659

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0659

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