High Range Resolution Micro-Doppler Radar Theory and Its Application to Human Gait Classification
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The Ohio State University / OhioLINK
2017
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ndltd-OhioLink-oai-etd.ohiolink.edu-osu14834385726456562021-08-03T06:39:36Z High Range Resolution Micro-Doppler Radar Theory and Its Application to Human Gait Classification Cammenga, Zachary Andrew Electrical Engineering Radar HRR Classification Doppler This work advances the use of radar for target classification. High range resolution (HRR) and micro-Doppler signal analysis both provide radar operators the ability to classify observed targets. However, traditional micro-Doppler analysis does not account for a target moving in range and is therefore not compatible with high range resolution waveforms. We propose the use of a joint-range-time-frequency (JRTF) signature that combines the range information of a HRR radar and the frequency signature of a time-frequency transform.Complicated targets that consist of returns from multiple scatterers have been considered as the independent combination of the return from each target. This is a simplification of the problem and does not consider how the target interaction affect the micro-Doppler signature. These interactions were studied and were found to be the generating factor of unique characteristics within the micro-Doppler signature. The analytic expression for the JRTF signature is derived and analysis is provided for the motion of a simple pendulum. The implementation of the JRTF signature is presented and signal processing techniques for improved JRTF signature manipulation are provided. Finally, we apply the JRTF signature to the classification of human gait. Features extracted from the JRTF signature are compared to features extracted from the micro-Doppler signature, and results show increased classification performance using the JRTF features. 2017-07-26 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1483438572645656 http://rave.ohiolink.edu/etdc/view?acc_num=osu1483438572645656 unrestricted This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center. |
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NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Electrical Engineering Radar HRR Classification Doppler |
| spellingShingle |
Electrical Engineering Radar HRR Classification Doppler Cammenga, Zachary Andrew High Range Resolution Micro-Doppler Radar Theory and Its Application to Human Gait Classification |
| author |
Cammenga, Zachary Andrew |
| author_facet |
Cammenga, Zachary Andrew |
| author_sort |
Cammenga, Zachary Andrew |
| title |
High Range Resolution Micro-Doppler Radar Theory and Its Application to Human Gait Classification |
| title_short |
High Range Resolution Micro-Doppler Radar Theory and Its Application to Human Gait Classification |
| title_full |
High Range Resolution Micro-Doppler Radar Theory and Its Application to Human Gait Classification |
| title_fullStr |
High Range Resolution Micro-Doppler Radar Theory and Its Application to Human Gait Classification |
| title_full_unstemmed |
High Range Resolution Micro-Doppler Radar Theory and Its Application to Human Gait Classification |
| title_sort |
high range resolution micro-doppler radar theory and its application to human gait classification |
| publisher |
The Ohio State University / OhioLINK |
| publishDate |
2017 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1483438572645656 |
| work_keys_str_mv |
AT cammengazacharyandrew highrangeresolutionmicrodopplerradartheoryanditsapplicationtohumangaitclassification |
| _version_ |
1719441023989448704 |