Results 21 to 30 of about 12,237 (268)

Dual‐labelled multi‐Bernoulli filter based on specific emitter identification

open access: yesIET Radar, Sonar & Navigation
In complex electromagnetic environments, airborne passive bistatic radar encounters the challenge of associating emitters with measurements for multi‐target tracking.
Xin Guan, Yu Lu
doaj   +2 more sources

Specific Emitter Identification Using Convolutional Neural Network-Based IQ Imbalance Estimators

open access: yesIEEE Access, 2019
Specific Emitter Identification is the association of a received signal to a unique emitter, and is made possible by the naturally occurring and unintentional characteristics an emitter imparts onto each transmission, known as its radio frequency ...
Lauren J. Wong   +2 more
doaj   +3 more sources

Specific Emitter Identification Based on Progressive Self-training Open Set Domain Adaptation [PDF]

open access: yesJisuanji kexue
Aiming at the problem that the specific emitter identification model trained in the closed set scene will suffer from the degradation of the known class recognition performance and the error of the new class recognition when deployed in the environmental
ZHANG Taotao, XIE Jun, QIAO Pingjuan
doaj   +2 more sources

RIS-Assisted Wireless Link Signatures for Specific Emitter Identification

open access: yesIEEE Transactions on Wireless Communications
The physical layer authentication (PLA) is a promising technology which can enhance the access security of a massive number of devices in the near future. In this paper, we propose a reconfigurable intelligent surface (RIS)-assisted PLA system, in which the legitimate transmitter can customize the channel fingerprints during PLA by controlling the ON ...
Ning Gao 0001   +6 more
openaire   +5 more sources

Specific Emitter Identification Based on Ensemble Neural Network and Signal Graph

open access: yesApplied Sciences, 2022
Specific emitter identification (SEI) is a technology for extracting fingerprint features from a signal and identifying the emitter. In this paper, the author proposes an SEI method based on ensemble neural networks (ENN) and signal graphs, with the ...
Chenjie Xing   +4 more
doaj   +2 more sources

Arbitrarily Accurate Classification Applied to Specific Emitter Identification

open access: yes, 2022
<p>This article introduces a method of evaluating subsamples until any prescribed level of classification accuracy is attained, thus obtaining arbitrary accuracy. A logarithmic reduction in error rate is obtained with a linear increase in sample count.
Michael Kleder (14130735)
openaire   +3 more sources

Radar emitter identification based on unintentional phase modulation on pulse characteristic [PDF]

open access: yesTongxin xuebao, 2020
Aiming at the problem of poor performance of the classification model in the case of unintentional phase modulation on pulse (UPMOP) to achieve radar specific emitter identification,a method for radar specific emitter identification with long and short ...
Xin QIN   +3 more
doaj   +4 more sources

Transfer Learning-Based Specific Emitter Identification for ADS-B over Satellite System

open access: yesRemote Sensing
In future aviation surveillance, the demand for higher real-time updates for global flights can be met by deploying automatic dependent surveillance–broadcast (ADS-B) receivers on low Earth orbit satellites, capitalizing on their global coverage and ...
Mingqian Liu   +4 more
doaj   +2 more sources

Fractal Features of Specific Emitter Identification

open access: yesActa Physica Polonica A, 2013
This article presents the issues connected with emitter sources identification with low distinctive primary features of a signal. It is a specific type of identification called specific emitter identification, which distinguishes different copies of the ...
J. Dudczyk, A. Kawalec
openaire   +2 more sources

Specific emitter identification using geometric features of frequency drift curve [PDF]

open access: yesBulletin of the Polish Academy of Sciences: Technical Sciences, 2018
Specific emitter identification (SEI) is a technique for recognizing different emitters of the same type which have the same modulation parameters. Using only the classic modulation parameters for recognition, one cannot distinguish different emitters of
Y. Zhao, Y. Li, L. Wui, J. Zhang
doaj   +2 more sources

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