Please use this identifier to cite or link to this item:
Title: Automated classification of micro-doppler signature
Authors: Zhao, Dawei
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2017
Abstract: 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.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP_Report_Final_Zhao Dawei.pdf
  Restricted Access
1.7 MBAdobe PDFView/Open

Page view(s) 50

checked on Oct 20, 2020

Download(s) 50

checked on Oct 20, 2020

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.