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Human Micro-Range/Micro-Doppler Signature Extraction, Association, and Statistical Characterization for High-Resolution Radar

Fogle, Orelle Ryan
http://rave.ohiolink.edu/etdc/view?acc_num=wright1307733951

Abstract Details

2011, Doctor of Philosophy (PhD), Wright State University, Engineering PhD.
Recently, the use of micro-Doppler (µD) radar signatures for classification has become an area of focus, in particular for the case of dynamic targets where many components are interacting over time. To fully exploit the signature information, individual scattering centers may be extracted and associated over the full target observation. Due to the complexity of the target signature, the automated analysis is very difficult. However, the availability of ultra-fine resolution or micro-range (µR) resolution along with target scattering knowledge, can aid this process immensely. Here, we describe a feature extraction algorithm which utilizes both µD and µR data. We apply this algorithm to measured data to gain knowledge of dismount-radar phenomenology. Specifically, we associate µD/µR features to physical human components resulting in an intuitive and physically-relevant model. Additionally, we statistically characterize the radar cross-section (RCS) behavior of the individual body features.
Brian Rigling, PhD (Advisor)
Lee Potter, PhD (Committee Member)
Fred Garber, PhD (Committee Member)
Ronald Riechers, PhD (Committee Member)
Michael Raymer, PhD (Committee Member)
93 p.
Electrical Engineering; Remote Sensing
radar; dismount; micro-Doppler; micro-range; radar cross-section

Recommended Citations

Citations

  • Fogle, O. R. (2011). Human Micro-Range/Micro-Doppler Signature Extraction, Association, and Statistical Characterization for High-Resolution Radar [Doctoral dissertation, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1307733951

    APA Style (7th edition)

  • Fogle, Orelle. Human Micro-Range/Micro-Doppler Signature Extraction, Association, and Statistical Characterization for High-Resolution Radar. 2011. Wright State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1307733951.

    MLA Style (8th edition)

  • Fogle, Orelle. "Human Micro-Range/Micro-Doppler Signature Extraction, Association, and Statistical Characterization for High-Resolution Radar." Doctoral dissertation, Wright State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1307733951

    Chicago Manual of Style (17th edition)

wright1307733951
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© 2011, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.