Results 1 to 10 of about 9,562 (259)

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

open access: yesSensors
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   +4 more
doaj   +2 more sources

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

open access: yesScientific 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   +3 more
doaj   +2 more sources

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

open access: yesHangkong 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

open access: yesIEEE 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   +4 more
doaj   +1 more source

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

open access: yesLeida 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   +4 more
doaj   +1 more source

New Jamming Scenario: From Marginal Jamming to Deep Jamming [PDF]

open access: yesPhysical Review Letters, 2011
We study properties of jammed packings of frictionless spheres over a wide range of volume fractions. There exists a crossover volume fraction which separates deeply jammed solids from marginally jammed solids. In deeply jammed solids, all the scalings presented in marginally jammed solids are replaced with remarkably different ones with potential ...
Zhao, Cang, Tian, Kaiwen, Xu, Ning
openaire   +3 more sources

Game jam [PDF]

open access: yesCHI '13 Extended Abstracts on Human Factors in Computing Systems, 2013
Game Jams - energized, fast-paced get-togethers of developers and artists to make digital games - have recently emerged as a way to generate and inspire novel game ideas and new ways of thinking. We intend to introduce the CHI community to this collaborative, fast-paced method of design by holding a game jam with an emphasis on developing novel user ...
Alan D. Chatham   +7 more
openaire   +3 more sources

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

open access: yesSensors, 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   +5 more
doaj   +1 more source

A cross‐layer anti‐jamming method in satellite Internet

open access: yesIET 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   +3 more
doaj   +1 more source

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

open access: yesRemote 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   +5 more
doaj   +1 more source

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