Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6269
Title: Analysis of orthogonal matching pursuit based subsurface imaging for compressive ground penetrating radars
Authors: Tuncer, Mehmet Ali Çağrı
Gürbüz, Ali Cafer
Keywords: Ground Penetrating Radar (GPR)
Radar
Subsurface Imaging
Compressive Sensing (CS)
l(1) minimization
Orthogonal Matching Pursuit (OMP)
Issue Date: 2012
Publisher: Tubitak Scientific & Technical Research Council Turkey
Abstract: it is shown that compressive sensing (CS) theory can be used for subsurface imaging in stepped frequency ground penetrating radars (GPR), resulting in robust sparse images, using fewer measurements. Although the data acquisition time is decreased by CS, the computational complexity of the minimization based imaging algorithm is too costly, which makes the algorithm useless; especially for extensive discretization or 3D imaging. In this paper, a greedy alternative, orthogonal matching pursuit (OMP) is used for imaging subsurface and its performance under various conditions is compared to CS imaging method. Results show that OMP could reconstruct sparse signals robustly as well as CS imaging. It is faster and easier to implement so it can be said that OMP is a fascinating alternative to CS imaging method for subsurface GPR imaging.
URI: https://search.trdizin.gov.tr/yayin/detay/135109
https://doi.org/10.3906/elk-1104-3
https://hdl.handle.net/20.500.11851/6269
ISSN: 1300-0632
1303-6203
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
TR Dizin İndeksli Yayınlar / TR Dizin Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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