Specific emitter identification under extremely small sample conditions via chaotic integration
Electronics LettersAs a potential solution to improve wireless security, specific emitter identification is a lightweight access authentication technology. However, the existed deep learning‐based specific emitter identification methods are highly dependent on the training
Haotian Zhang +3 more
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Unsupervised Specific Emitter Identification Method Based on Directed Graph Connectivity [PDF]
Shuju Caiji Yu ChuliSpecific emitter identification （SEI） refers to the technique of distinguishing emitters by utilizing unique and subtle features in received electromagnetic signals.
YANG Ning +4 more
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Overview of Radio Frequency Fingerprint Extraction in Specific Emitter Identification
Leida xuebao, 2020 Specific emitter identification is a technique of extracting the radio frequency fingerprints of the received electromagnetic signal only using external feature measurements to determine the specific emitter that transmits the signal.
Liting SUN +4 more
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Carrier Leakage Estimation Method for Cross-Receiver Specific Emitter Identification
IEEE Access, 2021 Specific emitter identification (SEI) technology uses fingerprint features originated from the emitter imperfections to identify the transmitting devices.
Mengkai Shi +2 more
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Specific emitter identification based on CNN
Journal of Physics: Conference Series, 2021 Abstract Specific emitter identification is one of the important technologies of electronic countermeasures. The convolutional neural network (CNN) has a strong ability to process image classification. To solve the problem that the bispectral feature of the radiation source does not perform well in the specific emitter identification ...
Keke Hou, Nan Li
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Virtual Adversarial Training‐Based Semisupervised Specific Emitter Identification [PDF]
Wireless Communications and Mobile Computing, 2022 Deep learning is a new direction of research for specific emitter identification (SEI). Radio frequency (RF) fingerprints of the emitter signal are small and sensitive to noise. It is difficult to assign labels containing category information in noncooperative communication scenarios.
Cunxiang Xie, Limin Zhang, Zhaogen Zhong
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Specific Emitter Identification Based on Self-Supervised Contrast Learning
, 2022 The current deep learning (DL)-based Specific Emitter Identification (SEI) methods rely heavily on the training of massive labeled data during the training process.
Zhenyu Wang +6 more
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Multi-feature fusion classification method for communication specific emitter identification
Tongxin xuebao, 2021 A multi-feature fusion classification method based on multi-channel transform projection, integrated deep learning and generative adversarial network (GAN) was proposed for communication specific emitter identification.First, three-dimensional feature ...
Zunwen HE +3 more
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Specific emitter identification based on the multi‐discrepancy deep adaptation network
IET Radar, Sonar & Navigation, 2022 Specific emitter identification task often encounters the problem of channel inconsistency between the collected signal and the signal to be recognised, that is, different channel environments would cause inconsistency in the sample distribution, which ...
Tianchi Wang +3 more
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Specific emitter identification with multiple transmission codes and receivers [PDF]
, 2023 Dissertation (MEng(Electronic Engineering))--University of Pretoria, 2023.This research introduces an specific emitter identification (SEI) system to enhance secure transmission systems, addressing a critical gap in existing studies.
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