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Permanent link (DOI): https://doi.org/10.7939/R3MG6J

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Signal processing techniques for radar based subsurface and through wall imaging Open Access

Descriptions

Other title
Subject/Keyword
Radar, vector network analyzer, F-K migration, Kirchhoff
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Morales, Jorge M
Supervisor and department
Karumudi, Rambabu (Electrical and computer engineering)
Mandal, Mrinal (Electrical and computer engineering)
Examining committee member and department
Karumudi, Rambabu (Electrical and computer engineering)
Mandal, Mrinal (Electrical and computer engineering)
Ray, Nilanjan (Computing Science)
Nowrouzian, Behrouz (Electrical and computer engineering)
Department
Department of Electrical and Computer Engineering
Specialization
Biomedical Engineering
Date accepted
2012-07-05T14:41:06Z
Graduation date
2012-11
Degree
Master of Science
Degree level
Master's
Abstract
The ground penetrating radar (GPR) and through-wall radar detect and identify a target, by transmitting electromagnetic signals and processing the reflected signal. Migration had been a common method used in radar signal processing to obtain geophysical images and sketch the reflected data in the correct scatering position. In this thesis a study about different imaging and migration techniques, is performed. An improved radar migration imaging technique is then proposed by taking into account the effect of a two media environment in the signal velocity and signal path. The signal reflected coefficients are refocused on a possible target location or locations, ensuring a strong reflection in the presence of a target and a low reflection otherwise. The F-K migration is the baseline technique in our image generation. The F-K will migrate the focused data and obtain a 2-D matrix with the approximate scatering coefficients locations with respect to the depth. This focusing, windowing and F-K process are repeated several times along a grid, allowing us to reconstruct a sectional image which will be filtered using the filtering after backprojection process obtaining a deblurred reconstructed image.
Language
English
DOI
doi:10.7939/R3MG6J
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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