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...
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: | |
Online Access: | https://ieeexplore.ieee.org/document/9920202/ |
Similar Items
-
Time-frequency Analysis Techniques for Recognition and Suppression of Interrupted Sampling Repeater Jamming
by: ZHOU Chao, et al.
Published: (2019-02-01) -
Active Deception Jamming Recognition Method in Multimodal Radar Based on Small Samples
by: Shunsheng ZHANG, et al.
Published: (2023-08-01) -
Robust Antijamming Strategy Design for Frequency-Agile Radar against Main Lobe Jamming
by: Kang Li, et al.
Published: (2021-08-01) -
A Method for Interrupted-Sampling Repeater Jamming Identification and Suppression Based on Differential Features
by: Jiyu GAI, et al.
Published: (2023-02-01) -
Intelligent Recognition of Chirp Radar Deceptive Jamming Based on Multi-Pulse Information Fusion
by: Xuegang Lan, et al.
Published: (2021-04-01)