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Published in 2020 at "Electronics Letters"
DOI: 10.1049/el.2019.3207
Abstract: Deep learning provides a new scheme for specific emitter identification (SEI). However, most deep learning-based methods directly apply existing neural networks in other fields to SEI without considering its particularity. The identification-relevant information only accounts…
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Keywords:
specific emitter;
private networks;
shared private;
identification ... See more keywords
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Published in 2020 at "Electronics Letters"
DOI: 10.1049/el.2020.0116
Abstract: The crucial issue in specific emitter identification (SEI) is the extraction of fingerprint features which can represent the differences among individual emitters of the same type. Considering that these emitters have the same intentional modulation…
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Keywords:
modulation;
adversarial networks;
emitter identification;
discriminative adversarial ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2913759
Abstract: Specific emitter identification (SEI) enables the discrimination of individual radio emitters with the external features carried by the received waveforms. This identification technique has been widely adopted in military and civil applications. However, many previous…
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Keywords:
emitter identification;
specific emitter;
deep residual;
hilbert spectrum ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3088542
Abstract: Specific emitter identification (SEI) uses the unintentional modulation information carried by the emitter waveform, i.e., radio frequency fingerprints, to realize the matching identification of the received signal and its corresponding emitter. We propose an emitter…
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Keywords:
emitter identification;
specific emitter;
radio;
identification ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3229890
Abstract: Obtaining larger category-label-containing training signal datasets in non-cooperative scenarios is difficult. Moreover, employing smaller labeled signal datasets for specific emitter identification is technically challenging. Therefore, we propose a novel method for few-shot SEI. We first…
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Keywords:
non cooperative;
method;
emitter identification;
novel method ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3194967
Abstract: Specific emitter identification (SEI) is a highly potential technology for physical-layer authentication that is one of the most critical supplements for the upper-layer authentication. SEI is based on radio frequency (RF) features from circuit difference,…
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Keywords:
identification;
emitter identification;
identification via;
specific emitter ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3195450
Abstract: With the sharply increasing number of wireless devices, specific emitter identification (SEI) technology based on radio frequency fingerprint (RFF) is employed to enhance devices’ security for authentication. However, the problems of poor performance in a…
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Keywords:
system;
snr;
identification;
emitter identification ... See more keywords
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Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2021.3135378
Abstract: Specific emitter identification (SEI) is a well-established approach to providing precise target information for civilian and military applications. For most deep learning (DL) based SEI schemes, neural operators directly learn mappings from the raw baseband…
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Keywords:
specific emitter;
fourier neural;
complex fourier;
emitter identification ... See more keywords
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Published in 2023 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2023.3247900
Abstract: Specific emitter identification (SEI) methods via deep learning have shown significant progress in accuracy recently. However, these methods require a large amount of the labeled data. In this letter, contrastive learning is introduced to cope…
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Keywords:
contrastive learning;
loss;
specific emitter;
emitter identification ... See more keywords