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Research on Jamming Recognition Based on Time-Frequency Domain Weighted Fusion and Attention Mechanism [PDF]

Sensors
The jamming recognition of target detection aims to achieve rapid judgment and effective response to jamming by analyzing the target echo signals. This paper addresses the shortcomings of the existing methods in terms of jamming recognition capabilities ...
Yao Zhang, Shuai Wang, Lingyi Wu, Yunchao Yao, Xi Pan   +4 more
doaj   +2 more sources

A jamming risk warning model for TBM tunnelling based on Bayesian statistical methods [PDF]

Scientific Reports
This study presents a comprehensive jamming risk assessment framework for Tunnel Boring Machine (TBM) jamming accidents during excavation. Using real-time boring data and Bayesian conditional probability, a novel risk warning model is proposed to enhance
Shuang-jing Wang, Le-chen Wang, Lei-jie Wu, Xu Li   +3 more
doaj   +2 more sources

Jamming Simulation Analysis of LFM-Chebyshev Chaotic Bi-Phase Code Signal [PDF]

Hangkong bingqi, 2022
LFM-Chebyshev chaotic bi-phase code signal is a mixed signal which uses Chebyshev chaotic sequence as inter pulse two-phase coding and linear frequency modulation processing in the pulse. It has strong concealment and anti-jamming ability.
Song Quan, Zhang Fan, Xu Hua
doaj   +1 more source

Heterogeneous Spectral-Spatial Network With 3D Attention and MLP for Hyperspectral Image Classification Using Limited Training Samples

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Methods based on convolutional neural networks (CNNs) have become a vital offshoot for hyperspectral image (HSI) classification. In recent years, the 3-D CNN (3-DCNN) has become dominant due to its excellent capability of extracting features.
Yaxiu Sun, Minhui Wang, Chen Wei, Yu Zhong, Jianhong Xiang   +4 more
doaj   +1 more source

A Radar Anti-jamming Method under Multi-jamming Scenarios Based on Deep Reinforcement Learning in Complex Domains

Leida xuebao, 2023
In modern electronic warfare, the jamming environment of radar is more complex than ever. The airborne jammer adapts its jamming method based on diverse raid missions and stages.
Feng XIE, Huanyu LIU, Xikun HU, Ping ZHONG, Junbao LI   +4 more
doaj   +1 more source

Intelligent Radar Jamming Recognition in Open Set Environment Based on Deep Learning Networks

Remote Sensing, 2022
Jamming recognition is an essential step in radar detection and anti-jamming in the complex electromagnetic environment. When radars detect an unknown type of jamming that does not occur in the training set, the existing radar jamming recognition ...
Yu Zhou, Song Shang, Xing Song, Shiyu Zhang, Tianqi You, Linrang Zhang   +5 more
doaj   +1 more source

Statistical Analysis of Bistatic Radar Ground Clutter for Different German Rural Environments

Sensors, 2020
This article presents the statistical analysis of bistatic radar rural ground clutter for different terrain types under low grazing angles. Compared to most state-of-the-art analysis, we present country-specific clutter analysis for subgroups of rural ...
Michael Kohler, Daniel W. O’Hagan, Matthias Weiss, David Wegner, Josef Worms, Oliver Bringmann   +5 more
doaj   +1 more source

A cross‐layer anti‐jamming method in satellite Internet

IET Communications, 2023
In view of the diverse jamming environment, the single‐level anti‐jamming method faces some challenges such as poor timeliness, high cost and poor effect.
Peijie Yan, Feihuang Chu, Luliang Jia, Nan Qi   +3 more
doaj   +1 more source

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

AIP 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

Leida 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, Xingchao CUI, Mingdian LI, Chensong TAO, Haoliang LI   +4 more
doaj   +1 more source