Specific Emitter Identification Against Unreliable Features Interference Based on Time-Series Classification Network Structure

Specific Emitter Identification Against Unreliable Features Interference Based on Time-Series Classification Network Structure

Specific emitter identification (SEI) aims to distinguish different emitter individuals based on the subtle differences in the signals. The technology can be widely applied to various wireless communication systems. Existing individual identification methods often ignore the radio frequency (RF) fin...

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Bibliographic Details
Main Authors: Yinghui Liu, Hua Xu, Zisen Qi, Yunhao Shi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
CoBONet
Conv-Ordsnet
data augmentation
DBi-LSTM
specific emitter identification
unreliable feature
Online Access:https://ieeexplore.ieee.org/document/9248053/

Internet

https://ieeexplore.ieee.org/document/9248053/

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