Results 11 to 20 of about 30,349 (278)
In the field of intelligent anti-jamming, deep reinforcement learning algorithms are regarded as key technical means. However, the learning process of deep reinforcement learning algorithms requires a stable learning environment to ensure its ...
Qingchuan Chen +3 more
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This paper investigates the cooperative anti-jamming distributed channel selection problem in UAV communication networks. Considering the existence of malicious jamming and co-channel interference, we design an interference-aware cooperative anti-jamming
Yifan Xu +5 more
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Exploring UAV's multi-domain joint anti-jamming intelligent decision algorithm
To understand the complex communication environment of a UAV in battlefield, its unknown channel statistics information and poor intelligent jamming and anti-jamming capability, the multi-domain anti-jamming problem is studied, and a multi-domain joint ...
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Jamming-resilient algorithm for underwater cognitive acoustic networks
Due to the limit spectrum resource in the underwater acoustic networks, underwater cognitive acoustic communication is a promising technique. The channel sharing mechanism in cognitive networks can improve the communication capacity efficiently.
Zixiang Wang +4 more
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SATCOM Earth Station Arrays Anti-Jamming Based on MVDR Algorithm
In modern life, a large amount of information is transmitted through satellites. The anti-jamming ability of satellite communication earth stations is the basis for ensuring the smooth flow of information.
Yanpeng Xi, Jian Liu, Wenhao Zhao
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Underwater acoustic communication networks (UACNs) play a critical role in ocean environmental monitoring, maritime rescue, and military applications.
Liejun Yang, Yi Chen, Hui Wang
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Rapid growth in wireless data traffic and the increasing demand for secure, low-latency communication have driven research toward next-generation (6G) technology, which aims to provide ubiquitous, secure wireless connectivity.
Zain Ul Abideen Tariq +3 more
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In this article, we propose a joint waveform based on universal filtered multicarrier (UFMC) chirp for radar jamming and communication joint systems. Modulation of radar jamming chirp signals and communication signals on different subcarrier groups in ...
Gaogao Liu +4 more
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Deep reinforcement learning-empowered anti-jamming strategy aided by sample information entropy [PDF]
For the deep reinforcement learning (DRL)-empowered intelligent jamming, an anti-jamming strategy aided by sample information entropy was proposed. Firstly, the anti-jamming strategy network and entropy prediction network were designed based on neural ...
LI Gang +6 more
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Survey on cognitive anti‐jamming communications [PDF]
In this study, the authors review various jamming and anti‐jamming strategies in the context of cognitive radios (CRs). The study explores different jamming models and classifies them according to their functionality. Furthermore, a study of jamming detection techniques is provided to enable a CR to identify different jamming signals.
Mohamed A. Aref +2 more
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