Radar deception jamming recognition based on weighted ensemble CNN with transfer learning

Q Lv, Y Quan, W Feng, M Sha, S Dong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Deep neural network-based interrupted sampling deceptive jamming countermeasure method

Q Lv, Y Quan, M Sha, W Feng… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
With the development of digital radio frequency memory technology, the main-lobe
deception jamming represented by interrupted-sampling repeater jamming (ISRJ) poses a …

Active deception jamming recognition in the presence of extended target

Y Kong, X Wang, C Wu, X Yu… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
Accurate sensing of the mainlobe active deception jamming is critical for radar antijamming
and extended target detection in a complex electromagnetic environment. This letter …

[HTML][HTML] Ultra-broadband terahertz metamaterial absorber based on flexible wave-absorbing material

D Chen, B Xu, Z Qiu, X Wang, J Wu - Results in Physics, 2023 - Elsevier
Metamaterial absorbers (MA) in terahertz (THz) based bands are receiving much attention
for its potential applications. However, the limited bandwidth greatly reduces the further …

Meta-cognition. an inverse-inverse reinforcement learning approach for cognitive radars

K Pattanayak, V Krishnamurthy… - 2022 25th International …, 2022 - ieeexplore.ieee.org
This paper considers meta-cognitive radars in an adversarial setting. A cognitive radar
optimally adapts its wave-form (response) in response to maneuvers (probes) of a possibly …

How can a cognitive radar mask its cognition?

K Pattanayak, V Krishnamurthy… - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
We study how a cognitive radar can mask (hide) its cognitive ability from an adversarial
jamming device. Specifically, if the radar optimally adapts its waveform based on adversarial …

Principal–agent problem as a principled approach to electronic counter-countermeasures in radar

A Gupta, V Krishnamurthy - IEEE Transactions on Aerospace …, 2022 - ieeexplore.ieee.org
Electronic countermeasures (ECMs) against a radar are actions taken by an adversarial
jammer to mitigate the effective utilization of the electromagnetic spectrum by the radar. On …

Meta-Cognitive Radar. Masking Cognition From an Inverse Reinforcement Learner

K Pattanayak, V Krishnamurthy… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A metacognitive radar switches between two modes of cognition—one mode to achieve a
high-quality estimate of targets, and the other mode to hide its utility function (plan). To …

Inverse-inverse reinforcement learning. how to hide strategy from an adversarial inverse reinforcement learner

K Pattanayak, V Krishnamurthy… - 2022 IEEE 61st …, 2022 - ieeexplore.ieee.org
Inverse reinforcement learning (IRL) deals with estimating an agent's utility function from its
actions. In this paper, we consider how an agent can hide its strategy and mitigate an …

[PDF][PDF] 博弈条件下雷达波形设计策略研究

李伟, 王泓霖, 郑家毅, 徐建业, 赵俊龙, 邹鲲 - 电子与信息学报, 2019 - jeit.ac.cn
为提高电子战中弹载雷达检测性能, 该文提出基于纳什均衡的雷达波形设计方法.
首先建立电子战条件下雷达与干扰信号博弈模型, 基于最大化信干噪比(SINR) 准则 …