Automated classification of micro-doppler signature
Date of Issue2017
School of 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.
DRNTU::Engineering::Electrical and electronic engineering
Final Year Project (FYP)
Nanyang Technological University