Results 11 to 20 of about 17,845 (289)
Anti-Jamming Communication Using Slotted Cross Q Learning
Most of the existing intelligent anti-jamming communication algorithms model sensing, learning, and transmission as a serial process, and ideally assume that the duration of sensing and learning timeslots is very short, almost negligible. However, when the jamming environment changes rapidly, the sensing and learning time can no longer be ignored, and ...
Yingtao Niu +3 more
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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
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Covert Anti-Jamming Communication Based on Gaussian Coded Modulation
In several wireless communication systems, robustness against jammers and covertness against eavesdroppers are required simultaneously. In this paper, we propose a novel covert anti-jamming communication system.
Haeung Choi, Sangjun Park, Heung-No Lee
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In order to solve the problem of intelligent anti-jamming decision-making in battlefield communication, this paper designs an intelligent decision-making method for communication anti-jamming based on deep reinforcement learning.
Bailin Song, Hua Xu, Lei Jiang, Ning Rao
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Compromise-resilient anti-jamming communication in wireless sensor networks [PDF]
Jamming is a kind of Denial-of-Service attack in which an adversary purposefully emits radio frequency signals to corrupt the wireless transmissions among normal nodes. Although some research has been conducted on countering jamming attacks, few works consider jamming attacks launched by insiders, where an attacker first compromises some legitimate ...
Xuan Jiang +3 more
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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
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An Improved Anti-Jamming Method Based on Deep Reinforcement Learning and Feature Engineering
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
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Wireless communications “N + 1 dimensionality” endogenous anti-jamming: theory and techniques
The existing theory and techniques of wireless communication anti-jamming have reached their performance limit recently. With this focus, by leveraging the inherent characteristics of wireless communication and referring to the principle of cyberspace ...
Yao Fuqiang +3 more
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Learning-Based Multi-Domain Anti-Jamming Communication with Unknown Information
Due to the open nature of the wireless channel, wireless networks are vulnerable to jamming attacks. In this paper, we try to solve the anti-jamming problem caused by smart jammers, which can adaptively adjust the jamming channel and the jamming power ...
Yongcheng Li, Jinchi Wang, Zhenzhen Gao
semanticscholar +1 more source
Communication Anti-jamming Technique Based on Enhanced Oblique Projection Operator in Polarization Domain [PDF]
Aiming at the anti-jamming and interference suppression in wireless communication,this paper proposes a communication anti-jamming method in polarization domain.It uses oblique projection polarization filter in the signal polarization domain to overcome ...
ZHANG Xiaokai,ZHANG Bangning,GUO Daoxing,WANG Yaowen
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