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Jamming and Eavesdropping Defense Scheme Based on Deep Reinforcement Learning in Autonomous Vehicle Networks

IEEE Transactions on Information Forensics and Security, 2023
As a legacy from conventional wireless services, illegal eavesdropping is regarded as one of the critical security challenges in Connected and Autonomous Vehicles (CAVs) network.
Yu Yao   +4 more
semanticscholar   +1 more source

Random-Frequency-Coded Waveform Optimization and Signal Coherent Accumulation Against Compound Deception Jamming

IEEE Transactions on Aerospace and Electronic Systems, 2023
Among the various types of jamming, active deception jamming has similar characteristics to the transmitted signal. The jamming seriously affects the detection and tracking of real targets by radar.
Yachao Li   +4 more
semanticscholar   +1 more source

Radar Deception Jamming Recognition Based on Weighted Ensemble CNN With Transfer Learning

IEEE Transactions on Geoscience and Remote Sensing, 2022
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.
Qinzhe Lv   +5 more
semanticscholar   +1 more source

Few-Shot Radar Jamming Recognition Network via Time-Frequency Self-Attention and Global Knowledge Distillation

IEEE Transactions on Geoscience and Remote Sensing, 2023
Radar jamming recognition aims to accurately recognize the type of jamming to provide guidance for radar countermeasures. Although previous deep learning-based methods have made promising performance, they mainly rely on convolutional neural network (CNN)
Zhenyu Luo   +4 more
semanticscholar   +1 more source

Radar Compound Jamming Cognition Based on a Deep Object Detection Network

IEEE Transactions on Aerospace and Electronic Systems, 2023
This article proposes a deep-learning-based compound jamming cognition method to recognize, detect individual jamming elements, and estimate key parameters of them.
Jiaxiang Zhang   +4 more
semanticscholar   +1 more source

Smart Jamming Against SAR Based on Nonlinear Frequency-Modulated Signal

IEEE Transactions on Aerospace and Electronic Systems, 2023
The traditional methods of jamming against synthetic aperture radar (SAR), which are implemented based on linear frequency-modulated (LFM) signals, are currently unable to meet the needs of electronic countermeasures.
Ning Li   +4 more
semanticscholar   +1 more source

Adaptation of Frequency Hopping Interval for Radar Anti-Jamming Based on Reinforcement Learning

IEEE Transactions on Vehicular Technology, 2022
In modern electronic warfare, it is becoming very important to develop intelligent and adaptive radar anti-jamming methods since jammers can now launch increasingly complex and unpredictable attacks.
.. Ailiya, Wei Yi, P. Varshney
semanticscholar   +1 more source

Active Deception Jamming Recognition in the Presence of Extended Target

IEEE Geoscience and Remote Sensing Letters, 2022
Accurate sensing of the mainlobe active deception jamming is critical for radar antijamming and extended target detection in a complex electromagnetic environment.
Yukai Kong   +4 more
semanticscholar   +1 more source

Jam Today, Jam Tomorrow

Proceedings of the ACM on Human-Computer Interaction, 2019
Game jams, which are game creation events in which developers design and build a game over a short period of time, have been shown to support participatory, active STEM learning. Game jams have expanded from their origins as physically co-located experiences and many are now conducted exclusively online. Though the co-located game jam has been noted as
Travis Faas   +3 more
openaire   +1 more source

Resilient Event-Triggered Controller Synthesis of Networked Control Systems Under Periodic DoS Jamming Attacks

IEEE Transactions on Cybernetics, 2019
In this paper, the event-based controller synthesis problem for networked control systems under the resilient event-triggering communication scheme (RETCS) and periodic denial-of-service (DoS) jamming attacks is studied.
Songlin Hu   +4 more
semanticscholar   +1 more source

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