Date of Award
2020
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Electrical Engineering
First Advisor
Kurt E. Oughstun
Abstract
Metal detection systems currently available to the general public ordinarily verify
the presence of conductive material, not the shape. Shape detection is important for
discrimination between dangerous and benign items. Test setups are developed useful for
identifying the value of microwaves for shape detection behind selected material types.
The behavior of this electromagnetic energy in homogeneous, isotropic, locally linear,
temporally dispersive material is examined in the time and frequency domains. The
results of the evaluations determine the behavior of continuous-wave microwave
radiation and microwave pulses in such media. A unique method is then developed for
detecting the shape of concealed conductive objects utilizing pulsed microwave ultrawideband
spectra.
Language
en
Number of Pages
71 p.
Recommended Citation
Kowalczyk, Kyle, "Shape Detection Of Concealed Conductive Objects Using Microwave Ultra-Wideband Spectra" (2020). Graduate College Dissertations and Theses. 1172.
https://scholarworks.uvm.edu/graddis/1172
Comments
Please contact the author with questions at gme@gmelectric.com/