Skip to Main Content
 

Global Search Box

 
 
 

ETD Abstract Container

Abstract Header

A Fast Matched Filtered Method for Ground Penetrating Radar Tomographic Imaging

Guzel, Yasar
http://orcid.org/0000-0001-5221-8392
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1560468434395571

Abstract Details

2019, Doctor of Philosophy (Ph.D.), University of Dayton, Electrical Engineering.
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.
Michael Wicks (Advisor)
114 p.
Electrical Engineering; Electromagnetics; Environmental Engineering; Environmental Science
Radar; Ground Penetrating Radar; RF Tomography; SAR Imaging; ISAR Imaging; RF Calibration

Recommended Citations

Citations

  • Guzel, Y. (2019). A Fast Matched Filtered Method for Ground Penetrating Radar Tomographic Imaging [Doctoral dissertation, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1560468434395571

    APA Style (7th edition)

  • Guzel, Yasar. A Fast Matched Filtered Method for Ground Penetrating Radar Tomographic Imaging. 2019. University of Dayton, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1560468434395571.

    MLA Style (8th edition)

  • Guzel, Yasar. "A Fast Matched Filtered Method for Ground Penetrating Radar Tomographic Imaging." Doctoral dissertation, University of Dayton, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1560468434395571

    Chicago Manual of Style (17th edition)

dayton1560468434395571
650
© 2019, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.