Automated classification of micro-doppler signature

This report is regarding the Final Year Project A3090-161 on the topic of Automated Classification of Micro-Doppler Signature. It discusses how gait recognition is achieved through the analysis of micro-Doppler features. Within the project, the data is collected through ST200 Radar Evaluation System...

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Main Author:	Zhao, Dawei
Other Authors:	Jiang Xudong
Format:	Final Year Project
Language:	English
Published:	2017
Subjects:	DRNTU::Engineering::Electrical and electronic engineering
Online Access:	http://hdl.handle.net/10356/70720
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-70720
record_format	dspace
spelling	sg-ntu-dr.10356-707202023-07-07T16:57:25Z Automated classification of micro-doppler signature Zhao, Dawei Jiang Xudong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This report is regarding the Final Year Project A3090-161 on the topic of Automated Classification of Micro-Doppler Signature. It discusses how gait recognition is achieved through the analysis of micro-Doppler features. Within the project, the data is collected through ST200 Radar Evaluation System with K-MC1 Radar Transceiver. Collected data is processed through various programs designed in MATLAB. A wide range of topics such as STFT, k-NN classification, noise cancelling are also applied throughout the project. Bachelor of Engineering 2017-05-09T07:47:19Z 2017-05-09T07:47:19Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70720 en Nanyang Technological University 42 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering Zhao, Dawei Automated classification of micro-doppler signature
description	This report is regarding the Final Year Project A3090-161 on the topic of Automated Classification of Micro-Doppler Signature. It discusses how gait recognition is achieved through the analysis of micro-Doppler features. Within the project, the data is collected through ST200 Radar Evaluation System with K-MC1 Radar Transceiver. Collected data is processed through various programs designed in MATLAB. A wide range of topics such as STFT, k-NN classification, noise cancelling are also applied throughout the project.
author2	Jiang Xudong
author_facet	Jiang Xudong Zhao, Dawei
format	Final Year Project
author	Zhao, Dawei
author_sort	Zhao, Dawei
title	Automated classification of micro-doppler signature
title_short	Automated classification of micro-doppler signature
title_full	Automated classification of micro-doppler signature
title_fullStr	Automated classification of micro-doppler signature
title_full_unstemmed	Automated classification of micro-doppler signature
title_sort	automated classification of micro-doppler signature
publishDate	2017
url	http://hdl.handle.net/10356/70720
_version_	1772825390708948992

Automated classification of micro-doppler signature

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