Convolutional Neural Network Classification using Three Cepstrums Combinations with Time, Time Derivative and Reassigned STFT of Doppler Signatures from Radar Human Locomotion

Convolutional Neural Network Classification using Three Cepstrums Combinations with Time, Time Derivative and Reassigned STFT of Doppler Signatures from Radar Human Locomotion

This paper introduces the CTDRCepstrum, a novel feature extraction technique designed to differentiate various human activities using Doppler radar classification. Real data were collected from a Doppler radar system, capturing nine return echoes while monitoring three distinct human activities: wal...

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Bibliographic Details
Main Author: Dalila Yessad
Format: Article
Language:English
Published: Iran University of Science and Technology 2024-11-01
Series:Iranian Journal of Electrical and Electronic Engineering
Subjects:
doppler signature
stft reassignment
barttlet-hanning window
cnn model
radar target classification.
Online Access:http://ijeee.iust.ac.ir/article-1-3509-en.pdf
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http://ijeee.iust.ac.ir/article-1-3509-en.pdf

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