A Novel Data-Driven Specific Emitter Identification Feature Based on Machine Cognition

A Novel Data-Driven Specific Emitter Identification Feature Based on Machine Cognition

Machine learning becomes increasingly promising in specific emitter identification (SEI), particularly in feature extraction and target recognition. Traditional features, such as radio frequency (RF), pulse amplitude (PA), power spectral density (PSD), and etc., usually show limited recognition effe...

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Bibliographic Details
Main Authors: Mingzhe Zhu, Zhenpeng Feng, Xianda Zhou
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Electronics
Subjects:
feature extraction
machine cognition
machine learning
specific emitter identification
saliency detection
Online Access:https://www.mdpi.com/2079-9292/9/8/1308

Internet

https://www.mdpi.com/2079-9292/9/8/1308

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