Deep Neural Network-Based Interrupted Sampling Deceptive Jamming Countermeasure Method

Deep Neural Network-Based Interrupted Sampling Deceptive Jamming Countermeasure Method

With the development of digital radio frequency memory technology, the main-lobe deception jamming represented by interrupted-sampling repeater jamming (ISRJ) poses a severe challenge to radar. Traditional antijamming methods usually need to estimate the jamming parameters and have the risk of losin...

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Bibliographic Details
Main Authors: Qinzhe Lv, Yinghui Quan, Minghui Sha, Wei Feng, Mengdao Xing
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Antijamming
convolutional neural network (CNN)
jamming recognition
target detection
Online Access:https://ieeexplore.ieee.org/document/9920202/

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