Results 21 to 30 of about 257,689 (300)

Theory and effectiveness analysis of dual-aircraft formation active cancellation slow synchronous blinking jamming

open access: yesAIP Advances, 2023
Dual-aircraft formation slow synchronous blinking jamming is standard for jamming monopulse tracking. However, the jamming signal ratio (JSR) of slow synchronous blinking jamming is low and fluctuant in a dynamic jamming scenario, which leads to a poor ...
Zelong Hao, Xing Wang, You Chen
doaj   +1 more source

SAR Image Active Jamming Type Recognition Based on Deep CNN Model

open access: yesLeida xuebao, 2022
Synthetic Aperture Radar (SAR) can acquire high-resolution radar images of region of interest under all-day and all-weather conditions, a capability that has been successfully applied in many fields.
Siwei CHEN   +4 more
doaj   +1 more source

Jamming with Tunable Roughness [PDF]

open access: yesPhysical Review Letters, 2020
We introduce a new model to study the effect of surface roughness on the jamming transition. By performing numerical simulations, we show that for a smooth surface, the jamming transition density and the contact number at the transition point both increase upon increasing asphericity, as for ellipsoids and spherocylinders.
Ikeda, Harukuni   +3 more
openaire   +7 more sources

Jamming Detection and Classification in OFDM-Based UAVs via Feature- and Spectrogram-Tailored Machine Learning

open access: yesIEEE Access, 2022
In this paper, a machine learning (ML) approach is proposed to detect and classify jamming attacks against orthogonal frequency division multiplexing (OFDM) receivers with applications to unmanned aerial vehicles (UAVs). Using software-defined radio (SDR)
Yuchen Li   +6 more
semanticscholar   +1 more source

Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach [PDF]

open access: yesIEEE Transactions on Wireless Communications, 2020
Malicious jamming launched by smart jammers can attack legitimate transmissions, which has been regarded as one of the critical security challenges in wireless communications.
Helin Yang   +6 more
semanticscholar   +1 more source

Distributed Few-Shot Learning for Intelligent Recognition of Communication Jamming

open access: yesIEEE Journal on Selected Topics in Signal Processing, 2022
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 jamming data sets in wireless communication system are often small and ...
Mingqian Liu   +5 more
semanticscholar   +1 more source

Beamforming and Jamming Optimization for IRS-Aided Secure NOMA Networks

open access: yesIEEE Transactions on Wireless Communications, 2021
The integration of intelligent reflecting surface (IRS) and multiple access provides a promising solution to improved coverage and massive connections at low cost.
Wei Wang   +6 more
semanticscholar   +1 more source

Jamming Mitigation via Aerial Reconfigurable Intelligent Surface: Passive Beamforming and Deployment Optimization

open access: yesIEEE Transactions on Vehicular Technology, 2021
This correspondence reveals the potential of reconfigurable intelligent surface (RIS) in anti-jamming communications. In particular, we consider an aerial RIS (ARIS) that can be flexibly deployed in the air so as to mitigate jamming attacks and enhance ...
Xiao Tang   +4 more
semanticscholar   +1 more source

A Smart Noise Jamming Suppression Method Based on Atomic Dictionary Parameter Optimization Decomposition

open access: yesRemote Sensing, 2022
Smart noise jamming is a new jamming style against radar, which plays an important role in modern radar electronic warfare. In order to solve the complex problem of convolutional smart noise jamming suppression with different time delay and jamming ...
Zhidong Liu, Qun Zhang, Kaiming Li
doaj   +1 more source

An Improved Anti-Jamming Method Based on Deep Reinforcement Learning and Feature Engineering

open access: yesIEEE Access, 2022
To improve the performance of anti-jamming communication in dynamic and adversarial jamming environment, an improved anti-jamming method is proposed based on deep reinforcement learning and feature engineering.
Xin Chang   +4 more
doaj   +1 more source

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