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High Range Resolution Micro-Doppler Radar Theory and Its Application to Human Gait Classification

Cammenga, Zachary Andrew
http://rave.ohiolink.edu/etdc/view?acc_num=osu1483438572645656

Abstract Details

2017, Doctor of Philosophy, Ohio State University, Electrical and Computer Engineering.
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.
Graeme Smith (Advisor)
Chi-Chih Chen (Committee Member)
Emre Ertin (Committee Member)
148 p.
Electrical Engineering
Radar HRR Classification Doppler

Recommended Citations

Citations

  • Cammenga, Z. A. (2017). High Range Resolution Micro-Doppler Radar Theory and Its Application to Human Gait Classification [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1483438572645656

    APA Style (7th edition)

  • Cammenga, Zachary. High Range Resolution Micro-Doppler Radar Theory and Its Application to Human Gait Classification. 2017. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1483438572645656.

    MLA Style (8th edition)

  • Cammenga, Zachary. "High Range Resolution Micro-Doppler Radar Theory and Its Application to Human Gait Classification." Doctoral dissertation, Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1483438572645656

    Chicago Manual of Style (17th edition)

osu1483438572645656
2,620
© 2017, some rights reserved.Creative Commons License High Range Resolution Micro-Doppler Radar Theory and Its Application to Human Gait Classification by Zachary Andrew Cammenga is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.