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A Fast Matched Filtered Method for G...

Guzel, Yasar.

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A Fast Matched Filtered Method for Ground Penetrating Radar Tomographic Imaging.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Fast Matched Filtered Method for Ground Penetrating Radar Tomographic Imaging./
Author:	Guzel, Yasar.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	115 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-06, Section: B.
Contained By:	Dissertations Abstracts International81-06B.
Subject:	Electromagnetics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27602835
ISBN:	9781687970893

A Fast Matched Filtered Method for Ground Penetrating Radar Tomographic Imaging.
Guzel, Yasar.

A Fast Matched Filtered Method for Ground Penetrating Radar Tomographic Imaging. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 115 p.

Source: Dissertations Abstracts International, Volume: 81-06, Section: B.

Thesis (Dr.Ph.)--University of Dayton, 2019.

This item must not be sold to any third party vendors.

This thesis proposes a fast matched-filtered based imaging algorithm to detect and image below ground objects with ground penetrating radar. To image below ground objects, a set of distributed transmitters and receivers are placed above the ground, or slightly buried. The transmitters radiate waveforms into the subsurface. The resulting wave-front impinges upon underground objects, scattering electromagnetic energy in all directions. Receivers collect the reflected electromagnetic signals, retrieve the phase of the scattered signals, and transmit this information to a signal processing system for post-processing. After applying adaptive signal processing algorithms to the collected data, an image of the buried objects can be reconstructed. Reconstructed 2D images of buried objects are computed via numerical discretization and matched filtering techniques. The matched filtering technique requires less computational power and is easier to implement as compared to the matrix inversion technique. Results from simulation analyses and experimental data are used to validate this method. This work includes simulations and experiments with ground penetrating radar calibration techniques to justify the method introduced here.

ISBN: 9781687970893Subjects--Topical Terms:

3173223
Electromagnetics.
Subjects--Index Terms:

Radar

A Fast Matched Filtered Method for Ground Penetrating Radar Tomographic Imaging.
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245 1 0 $a A Fast Matched Filtered Method for Ground Penetrating Radar Tomographic Imaging.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 115 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-06, Section: B.
500 $a Advisor: Wicks, Michael.
502 $a Thesis (Dr.Ph.)--University of Dayton, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a This thesis proposes a fast matched-filtered based imaging algorithm to detect and image below ground objects with ground penetrating radar. To image below ground objects, a set of distributed transmitters and receivers are placed above the ground, or slightly buried. The transmitters radiate waveforms into the subsurface. The resulting wave-front impinges upon underground objects, scattering electromagnetic energy in all directions. Receivers collect the reflected electromagnetic signals, retrieve the phase of the scattered signals, and transmit this information to a signal processing system for post-processing. After applying adaptive signal processing algorithms to the collected data, an image of the buried objects can be reconstructed. Reconstructed 2D images of buried objects are computed via numerical discretization and matched filtering techniques. The matched filtering technique requires less computational power and is easier to implement as compared to the matrix inversion technique. Results from simulation analyses and experimental data are used to validate this method. This work includes simulations and experiments with ground penetrating radar calibration techniques to justify the method introduced here.
590 $a School code: 0327.
650 4 $a Electromagnetics. $3 3173223
650 4 $a Electrical engineering. $3 649834
650 4 $a Environmental engineering. $3 548583
650 4 $a Environmental science. $3 677245
653 $a Radar
653 $a Ground Penetrating Radar
653 $a Radio Frequency Tomography
653 $a Synthetic aperture radar Imaging
653 $a Inverse synthetic aperture radar Imaging
653 $a RF Calibration
690 $a 0775
690 $a 0607
690 $a 0544
690 $a 0768
710 2 $a University of Dayton. $b Electrical Engineering. $3 1685216
773 0 $t Dissertations Abstracts International $g 81-06B.
790 $a 0327
791 $a Dr.Ph.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27602835