Motion classification for radar moving target via STFT and convolution neural network

Motion classification for radar moving target via STFT and convolution neural network

Radar moving target detection (MTD) technology is a key technology in the field of radar signal processing. The MTD method of radar has a better performance when applied to uniform motion detection although it has limited performance in other aspects, and it is also difficult to distinguish the type...

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Bibliographic Details
Main Authors: Xiaoqian Mou, Xiaolong Chen, Ningyuan Su, Jian Guan
Format: Article
Language:English
Published: Wiley 2019-07-01
Series:The Journal of Engineering
Subjects:
radar target recognition
radar signal processing
radar clutter
Fourier transforms
object detection
radar detection
radar tracking
time-frequency analysis
target tracking
feature extraction
learning (artificial intelligence)
radar computing
convolutional neural nets
uniform motion detection
moving target echo
target features
trained convolutional neural network model
detection accuracy rate
motion classification
convolution neural network
radar moving target
traditional MTD method
short-time Fourier transform
time-frequency graph
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0179

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0179

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