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Published in 2020 at "GPS Solutions"
DOI: 10.1007/s10291-020-01004-y
Abstract: Interference has destructive impacts on all signals, but due to the weakness of the global positioning system (GPS) signals, even low-power interference has a significant destructive effect. Mitigation of that effect is a challenging issue…
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Keywords:
interference;
gps receivers;
gps;
correlation ... See more keywords
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Published in 2025 at "GPS Solutions"
DOI: 10.1007/s10291-025-01821-z
Abstract: Signal anti-jamming has always been a difficult problem in GNSS (global navigation satellite system) signal processing. There are many GNSS anti-jamming techniques in the existing research, which can achieve good results if the interferences are…
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Keywords:
anti jamming;
based anti;
array;
deep neural ... See more keywords
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Published in 2020 at "Wireless Personal Communications"
DOI: 10.1007/s11277-019-06974-y
Abstract: In this paper, reinforcement learning (RL) based cognitive anti-jamming system employing full duplex tactical radio is investigated under electromagnetic spectrum warfare scenario. Firstly, the analytical expressions of jamming sensing based on improved energy detection are…
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Keywords:
reinforcement learning;
learning based;
anti jamming;
full duplex ... See more keywords
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Published in 2023 at "ACS sensors"
DOI: 10.1021/acssensors.3c00542
Abstract: Contact lens sensors provide a noninvasive approach for intraocular pressure (IOP) monitoring in patients with glaucoma. Accurate measurement of this imperceptible pressure variation requires highly sensitive sensors in the absence of simultaneously amplifying IOP signal…
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Keywords:
sensor anti;
high sensitivity;
pressure;
contact lens ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3158751
Abstract: Wireless sensor networks (WSNs) are widely applied in battlefield surveillance, where the data collection (e.g. target tracking or contention zone observation) employed by local sensor nodes needs to send to military bases for tactical decisions.…
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Keywords:
dqn based;
communication;
based algorithm;
ris ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3200761
Abstract: The confrontation between radar and jammer is increasingly competitive in electromagnetic spectrum warfare. The current radar anti-jamming methods are constrained to some extent in complex electromagnetic environment. It is necessary to study not only radar…
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Keywords:
radar anti;
strategy;
radar;
game theory ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3579422
Abstract: With the increasing use of AI in radar signal processing, researchers have started combining minimum variance distortionless response (MVDR) with AI technology; however, the use of MVDR results in higher nonlinearity, making the learning process…
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Keywords:
space beamforming;
anti jamming;
robust anti;
radar systems ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3583209
Abstract: Flying Ad Hoc Networks (FANETs) are an essential component of future integrated air-space strategic systems. To achieve efficient and reliable network communication between nodes, a routing protocol capable of adapting to dynamic network changes and…
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Keywords:
routing protocol;
link quality;
anti jamming;
cross layer ... See more keywords
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1
Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3140752
Abstract: Malicious jamming attacks have been regarded as a serious threat to Internet of Things (IoT) networks, which can significantly degrade the Quality of Service (QoS) of users. This article utilizes an intelligent reflecting surface (IRS)…
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Keywords:
multiuser irs;
beamforming optimization;
robust beamforming;
irs assisted ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3233454
Abstract: Conventional anti-jamming methods mainly focus on preventing single jammer attacks with an invariant jamming policy or jamming attacks from multiple jammers with similar jamming policies. These anti-jamming methods are ineffective against a single jammer following…
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Keywords:
jamming policies;
recurrent neural;
multiple jammers;
jamming methods ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3469159
Abstract: This article investigates the dynamic frequency selection problem in broadband anti-jamming communications through distributed sensing and deep reinforcement learning (DRL). In broadband anti-jamming scenarios, a single agent is often impractical for sensing the whole range…
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Keywords:
anti jamming;
sensing deep;
broadband anti;
distributed sensing ... See more keywords