Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7485
Title: Sparse ground-penetrating radar imaging method for off-the-grid target problem
Authors: Gürbüz, Ali Cafer
Teke, Oğuzhan
Arıkan, Orhan
Keywords: [No Keywords]
Issue Date: 2013
Publisher: Is&T & Spie
Abstract: Spatial sparsity of the target space in subsurface or through-the-wall imaging applications has been successfully used within the compressive-sensing framework to decrease the data acquisition load in practical systems, while also generating high-resolution images. The developed techniques in this area mainly discretize the continuous target space into grid points and generate a dictionary of model data that is used in image-reconstructing optimization problems. However, for targets that do not coincide with the computation grid, imaging performance degrades considerably. This phenomenon is known as the off-grid problem. This paper presents a novel sparse ground-penetrating radar imaging method that is robust for off-grid targets. The proposed technique is an iterative orthogonal matching pursuit-based method that uses gradient-based steepest ascent-type iterations to locate the off-grid target. Simulations show that robust results with much smaller reconstruction errors are obtained for multiple off-grid targets compared to standard sparse reconstruction techniques. (c) 2013 SPIE and IS&T
URI: https://doi.org/10.1117/1.JEI.22.2.021007
https://hdl.handle.net/20.500.11851/7485
ISSN: 1017-9909
1560-229X
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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