Results 11 to 20 of about 269 (215)

Transferring Learned Behaviors between Similar and Different Radios [PDF]

open access: yesSensors
Transfer learning (TL) techniques have proven useful in a wide variety of applications traditionally dominated by machine learning (ML), such as natural language processing, computer vision, and computer-aided design.
Braeden P. Muller   +3 more
doaj   +2 more sources

Resource-Constrained Specific Emitter Identification Based on Efficient Design and Network Compression [PDF]

open access: yesSensors
Specific emitter identification (SEI) methods based on deep learning (DL) have effectively addressed complex, multi-dimensional signal recognition tasks by leveraging deep neural networks.
Mengtao Wang   +3 more
doaj   +2 more sources

A Review of Specific Emitter Identification Based on Phase Space Reconstruction

open access: yesLeida xuebao, 2023
Specific Emitter Identification (SEI), originated from identifying radar systems, is to extract fingerprint features from the intercepted signals for recognizing emitter identifies.
Yurui ZHAO, Zhitao HUANG, Xiang WANG
doaj   +1 more source

Carrier Leakage Estimation Method for Cross-Receiver Specific Emitter Identification

open access: yesIEEE Access, 2021
Specific emitter identification (SEI) technology uses fingerprint features originated from the emitter imperfections to identify the transmitting devices.
Mengkai Shi   +2 more
doaj   +1 more source

Dynamic Curve Fitting and BP Neural Network With Feature Extraction for Mobile Specific Emitter Identification

open access: yesIEEE Access, 2021
As a critical technology in both civil and military fields, specific emitter identification (SEI) can identify signal sources according to their various features.
Qin Zhang, Yu Guo, Zhengyu Song
doaj   +1 more source

Deep adversarial neural network for specific emitter identification under varying frequency [PDF]

open access: yesBulletin of the Polish Academy of Sciences: Technical Sciences, 2021
Specific emitter identification (SEI) is the process of identifying individual emitters by analyzing the radio frequency emissions, based on the fact that each device contains unique hardware imperfections. While the majority of previous research focuses
Keju Huang   +3 more
doaj   +1 more source

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   +1 more source

On the Identification Accuracy of the I/Q Imbalance-Based Specific Emitter Identification

open access: yesIEEE 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   +1 more source

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

open access: yesIEEE Access, 2021
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.
Kaiwen Tan   +4 more
doaj   +1 more source

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