Radar HRRP recognition based on CNN

Radar HRRP recognition based on CNN

In this study, ground target recognition based on one-dimensional convolutional neural network (CNN) is studied by exploiting the targets’ high-resolution range profiles (HRRPs). Contrary to conventional methods which need feature extraction artificially, CNN can automatically discover features for...

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Bibliographic Details
Main Authors: Jia Song, Yanhua Wang, Wei Chen, Yang Li, Junfu Wang
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
radar target recognition
target tracking
radar resolution
feature extraction
radar computing
convolutional neural nets
neural net architecture
radar hrrp recognition
ground target recognition
one-dimensional convolutional neural network
multichannel cnn architecture
single-channel cnn
deep features
high-resolution range profiles
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0725

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0725

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