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   Articles with "specific emitter" as a keyword



Adversarial shared‐private networks for specific emitter identification

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recommendations! 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… read more here.

Keywords: specific emitter; private networks; shared private; identification ... See more keywords
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Discriminative adversarial networks for specific emitter identification

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recommendations! 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… read more here.

Keywords: modulation; adversarial networks; emitter identification; discriminative adversarial ... See more keywords

Specific Emitter Identification Based on Deep Residual Networks

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recommendations! 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… read more here.

Keywords: emitter identification; specific emitter; deep residual; hilbert spectrum ... See more keywords

Specific Emitter Identification Based on Software-Defined Radio and Decision Fusion

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recommendations! 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… read more here.

Keywords: emitter identification; specific emitter; radio; identification ... See more keywords
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A Novel Method for Few-Shot Specific Emitter Identification in Non-Cooperative Scenarios

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recommendations! 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… read more here.

Keywords: non cooperative; method; emitter identification; novel method ... See more keywords

Channel-Robust Specific Emitter Identification Based on Domain-Adversarial Training of Neural Networks and Multi-Feature Fusion

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3604428

Abstract: To address the significant decline in the accuracy of Specific Emitter Identification(SEI) under wireless channel, we propose a novel method that combines a domain adversarial network with multi-feature fusion(MFF) to extract domain-invariant features of the… read more here.

Keywords: domain adversarial; specific emitter; emitter identification; identification ... See more keywords

Few-Shot Specific Emitter Identification via Deep Metric Ensemble Learning

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recommendations! 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,… read more here.

Keywords: identification; emitter identification; identification via; specific emitter ... See more keywords

An Adaptive Specific Emitter Identification System for Dynamic Noise Domain

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recommendations! 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… read more here.

Keywords: system; snr; identification; emitter identification ... See more keywords

FedDePF: Decentralized Personalized Federated Few-Shot Learning for Specific Emitter Identification

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3551335

Abstract: Specific emitter identification (SEI) enhances wireless communication security by identifying specific devices or signals to monitor anomalies effectively. However, data scarcity and heterogeneity challenge traditional centralized methods and few-shot learning (FSL), which depend on centralized… read more here.

Keywords: shot learning; feddepf; emitter identification; specific emitter ... See more keywords

P3MC: Dual-Level Data Augmentation for Robust Few-Shot Specific Emitter Identification

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3586923

Abstract: Specific emitter identification (SEI) is a passive physical layer authentication technology that mines subtle hardware differences between emitters to identify devices. However, traditional deep-learning-based SEI is trained for scenarios with massive signal samples and performs… read more here.

Keywords: specific emitter; dual level; emitter identification; augmentation ... See more keywords

Specific Emitter Identification Based on Complex Fourier Neural Network

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recommendations! 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… read more here.

Keywords: specific emitter; fourier neural; complex fourier; emitter identification ... See more keywords