[HTML][HTML] 认知智能雷达抗干扰技术综述与展望
崔国龙， 余显祥， 魏文强， 熊奎， 孔昱凯， 孔令讲 - 雷达学报, 2022 - radars.ac.cn
随着电磁频谱成为现代战争的关键作战域之一, 在未来军事作战中, 现代雷达将面临日益复杂,
灵巧和智能的电磁干扰环境. 认知智能雷达具备环境主动感知, 任意发射和接收设计 …
灵巧和智能的电磁干扰环境. 认知智能雷达具备环境主动感知, 任意发射和接收设计 …
Radar deception jamming recognition based on weighted ensemble CNN with transfer learning
With the development of new active deception jamming, radar antijamming has become a
major research hotspot, and the recognition of jamming type is one of its key steps. In recent …
major research hotspot, and the recognition of jamming type is one of its key steps. In recent …
Distributed few-shot learning for intelligent recognition of communication jamming
Effective recognition of communication jamming is of vital importance in improving wireless
communication system's anti-jamming capability. Motivated by the major challenges that the …
communication system's anti-jamming capability. Motivated by the major challenges that the …
[HTML][HTML] An overview of antijamming methods and future works on cognitive intelligent radar
CUI Guolong, YU Xianxiang, WEI Wenqiang, X Kui… - 雷达学报, 2022 - radars.ac.cn
As the electromagnetic spectrum becomes a key operational domain in modern warfare,
radars will face a more complex, dexterous, and smarter electromagnetic interference …
radars will face a more complex, dexterous, and smarter electromagnetic interference …
Self-attention Bi-LSTM networks for radar signal modulation recognition
As the electromagnetic environment in battlefields is more and more complex, automatic
modulation recognition for radar signals is becoming vital and challenging. Traditional …
modulation recognition for radar signals is becoming vital and challenging. Traditional …
SAE-Net: A deep neural network for SAR autofocus
W Pu - IEEE Transactions on Geoscience and Remote …, 2022 - ieeexplore.ieee.org
The sparsity-driven technique is a widely used tool to solve the synthetic aperture radar
(SAR) imaging problem. However, it always encounters sensitivity to motion errors. To solve …
(SAR) imaging problem. However, it always encounters sensitivity to motion errors. To solve …
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 …
deception jamming represented by interrupted-sampling repeater jamming (ISRJ) poses a …
Active deception jamming recognition in the presence of extended target
Accurate sensing of the mainlobe active deception jamming is critical for radar antijamming
and extended target detection in a complex electromagnetic environment. This letter …
and extended target detection in a complex electromagnetic environment. This letter …
Few-shot radar jamming recognition network via time-frequency self-attention and global knowledge distillation
Z Luo, Y Cao, TS Yeo, Y Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Radar jamming recognition aims to accurately recognize the type of jamming to provide
guidance for radar countermeasures. Although previous deep learning-based methods have …
guidance for radar countermeasures. Although previous deep learning-based methods have …
Dynamic spectrum anti-jamming access with fast convergence: A labeled deep reinforcement learning approach
Y Li, Y Xu, G Li, Y Gong, X Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The primary objective of anti-jamming techniques is to ensure that the transmitted data
arrives at the intended receiver without being disturbed or jammed with by any jamming …
arrives at the intended receiver without being disturbed or jammed with by any jamming …