Intra-Pulse Modulation Classification of Radar Emitter Signals Based on a 1-D Selective Kernel Convolutional Neural Network

Intra-Pulse Modulation Classification of Radar Emitter Signals Based on a 1-D Selective Kernel Convolutional Neural Network

The intra-pulse modulation of radar emitter signals is a key feature for analyzing radar systems. Traditional methods which require a tremendous amount of prior knowledge are insufficient to accurately classify the intra-pulse modulations. Recently, deep learning-based methods, especially convolutio...

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Bibliographic Details
Main Authors: Shibo Yuan, Bin Wu, Peng Li
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
intra-pulse modulation classification
radar emitter signals
convolutional neural network
one-dimensional selective kernel convolutional neural network
Online Access:https://www.mdpi.com/2072-4292/13/14/2799

Internet

https://www.mdpi.com/2072-4292/13/14/2799

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