Results 11 to 20 of about 872 (205)

From Adaptive Communication Anti‐Jamming to Intelligent Communication Anti‐Jamming: 50 Years of Evolution

Advanced Intelligent Systems
Herein, a comprehensive review of the evolution of intelligent communication anti‐jamming techniques is provided. First, a clear definition of the concept and elaboration on the inherent connotations and capability characteristics of intelligent ...
Quan Zhou, Yingtao Niu
doaj   +3 more sources

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

IEEE 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, Yanbin Li, Yan Zhao, Yufeng Du, Donghui Liu   +4 more
doaj   +3 more sources

Intelligent Anti-Jamming Communication for Wireless Sensor Networks: A Multi-Agent Reinforcement Learning Approach

IEEE Open Journal of the Communications Society, 2021
In this article, we investigate intelligent anti-jamming communication method for wireless sensor networks. The stochastic game framework is introduced to model and analyze the multi-user anti-jamming problem, and a joint multi-agent anti-jamming ...
Quan Zhou, Yonggui Li, Yingtao Niu
doaj   +3 more sources

Anti-Jamming Communication Using Imitation Learning

Entropy, 2023
The communication reliability of wireless communication systems is threatened by malicious jammers. Aiming at the problem of reliable communication under malicious jamming, a large number of schemes have been proposed to mitigate the effects of malicious
Zhanyang Zhou, Yingtao Niu, Boyu Wan, Wenhao Zhou   +3 more
doaj   +3 more sources

On the Performance of Deep Reinforcement Learning-Based Anti-Jamming Method Confronting Intelligent Jammer

Applied Sciences, 2019
With the development of access technologies and artificial intelligence, a deep reinforcement learning (DRL) algorithm is proposed into channel accessing and anti-jamming.
Yangyang Li, Ximing Wang, Dianxiong Liu, Qiuju Guo, Xin Liu, Jie Zhang, Yitao Xu   +6 more
doaj   +3 more sources

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
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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
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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
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Radar Anti-Jamming Decision-Making Method Based on DDPG-MADDPG Algorithm

Remote Sensing, 2023
In the face of smart and varied jamming, intelligent radar anti-jamming technologies are urgently needed. Due to the variety of radar electronic counter-countermeasures (ECCMs), it is necessary to efficiently optimize ECCMs in the high-dimensional ...
Jingjing Wei, Yinsheng Wei, Lei Yu, Rongqing Xu   +3 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