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2
Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3184997
Abstract: Accurate sensing of the mainlobe active deception jamming is critical for radar antijamming and extended target detection in a complex electromagnetic environment. This letter, therefore, deals with the problem of multiple active deception jamming recognition…
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Keywords:
active deception;
deception jamming;
jamming recognition;
extended target ... See more keywords
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Published in 2024 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2024.3437337
Abstract: In modern times, radar detection faces the additively compounded jamming signals emitted by multiple jammers. Due to the unknown number, type, and parameters of individual jamming signals, previous jamming recognition algorithms cannot identify all compound…
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Keywords:
separation;
recognition;
jamming signals;
jamming recognition ... See more keywords
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Published in 2025 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2025.3599569
Abstract: In recent years, compound jamming has introduced new challenges to jamming recognition task. Compared to Single Jamming Recognition (SJR), Compound Jamming Recognition (CJR) exhibits greater variability in types, and the processes of data collection and…
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Keywords:
recognition;
compound jamming;
network;
jamming recognition ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3129645
Abstract: With the development of new active deception jamming, radar antijamming has become a major research hotspot, and the recognition of jamming type is one of its key steps. In recent years, deep learning has been…
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Keywords:
recognition;
deception jamming;
jamming recognition;
cnn ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3280322
Abstract: Radar jamming recognition aims to accurately recognize the type of jamming to provide guidance for radar countermeasures. Although previous deep learning-based methods have made promising performance, they mainly rely on convolutional neural network (CNN) based…
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Keywords:
recognition;
time frequency;
time;
jamming recognition ... See more keywords
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Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2024.3375975
Abstract: Malicious jamming attacks have a destructive effect on global navigation satellite system (GNSS) receivers and even make them lose lock. Jamming recognition can raise an alarm for the users and assist the receivers in selecting…
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Keywords:
gnss jamming;
feature aggregation;
jamming recognition;
feature ... See more keywords