Multi-Classifier Fusion for Open-Set Specific Emitter Identification
Remote Sensing, 2022 To safeguard the privacy and security of IoT systems, specific emitter identification is utilized to recognize device identity with hardware characteristics.
Yurui Zhao +3 more
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An Adaptive Deep Ensemble Learning for Specific Emitter Identification. [PDF]
Sensors (Basel)Specific emitter identification (SEI), which classifies radio transmitters by extracting hardware-intrinsic radio frequency fingerprints (RFFs), faces critical challenges in noise robustness, generalization under limited training data and class imbalance.
Shang P +5 more
europepmc +4 more sources
Multiple receiver specific emitter identification
IET Radar, Sonar & NavigationSpecific emitter identification (SEI) is a technique for identifying emitters based on the principle that the hardware chain is not ideal, causing the emitted signal to contain emitter‐specific information.
Liting Sun, Zheng Liu, Zhitao Huang
doaj +2 more sources
On the Identification Accuracy of the I/Q Imbalance-Based Specific Emitter Identification
IEEE Access, 2023 Specific emitter identification (SEI) is a powerful technique that identifies different emitters utilizing the features generated from hardware imperfections.
Yun Niu +4 more
doaj +2 more sources
1D-CNN-Transformer for Radar Emitter Identification and Implemented on FPGA
Remote SensingDeep learning has brought great development to radar emitter identification technology. In addition, specific emitter identification (SEI), as a branch of radar emitter identification, has also benefited from it.
Xiangang Gao +3 more
doaj +3 more sources
Specific Emitter Identification Using Convolutional Neural Network-Based IQ Imbalance Estimators
IEEE 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
Survey of Deep Learning for Radar Emitter Identification Based on Small Sample [PDF]
Jisuanji kexue, 2022 Traditional radar emitter identification methods can no longer meet the needs of identifying new-system radar emitters in the complicate and changeable electromagnetic environment.Deep learning methods can effectively extract the intra-pulse features of ...
SU Dan-ning, CAO Gui-tao, WANG Yan-nan, WANG Hong, REN He
doaj +1 more source
Radar Emitter Individual Identification Based on Parameter Optimization VMD and LightGBM [PDF]
Hangkong bingqi, 2022 In order to solve the problem of low accuracy of radar emitter individual identification in complex electromagnetic environment, a radar emitter individual identification technology based on parameter optimization VMD and LightGBM is proposed.
Xiao Yihan, Li Dongnian, Yu Xiangzhen, Song Ke
doaj +1 more source
Research on communication emitter identification based on semi-supervised dimensionality reduction in complex electromagnetic environment [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2023 The individual identification of communication emitters is a process of identifying different emitters based on the radio frequency fingerprint features extracted from the received signals. Due to the inherent non-linearity of the emitter power amplifier,
Wei Ge +6 more
doaj +1 more source
A Few-Shots OFDM Target Augmented Identification Method Based on Transfer Learning
Shanghai Jiaotong Daxue xuebao, 2022 Under the few-shots condition caused by non-cooperative scenes, robust extraction of communication emitter features and accurate identification of targets are the difficulties and hotspots of current research.
TANG Zeyu, ZOU Xiaohu, LI Pengfei, ZHANG Wei, YU Jiaqi, ZHAO Yaodong
doaj +1 more source