Deep Muti-Modal Generic Representation Auxiliary Learning Networks for End-to-End Radar Emitter Classification

Deep Muti-Modal Generic Representation Auxiliary Learning Networks for End-to-End Radar Emitter Classification

Radar data mining is the key module for signal analysis, where patterns hidden inside of signals are gradually available in the learning process and its superiority is significant for enhancing the security of the radar emitter classification (REC) system. Owing to the disadvantage that radio freque...

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Bibliographic Details
Main Authors: Zhigang Zhu, Zhijian Yi, Shiyao Li, Lin Li
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Aerospace
Subjects:
signal classification
convolutional neural network (CNN)
radar emitter classification (REC)
signal processing
Online Access:https://www.mdpi.com/2226-4310/9/11/732

Internet

https://www.mdpi.com/2226-4310/9/11/732

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