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Journal of Electronic Imaging

Sparse ground-penetrating radar imaging method for off-the-grid target problem
Author(s): Ali Cafer Gurbuz; Oguzhan Teke; Orhan Arikan
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Paper 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.

Paper Details

Date Published: 31 January 2013
PDF: 8 pages
J. Electron. Imag. 22(2) 021007 doi: 10.1117/1.JEI.22.2.021007
Published in: Journal of Electronic Imaging Volume 22, Issue 2
Show Author Affiliations
Ali Cafer Gurbuz, TOBB Univ. of Economics and Technology (Turkey)
Oguzhan Teke, Bilkent Univ. (Turkey)
Orhan Arikan, Bilkent Univ. (Turkey)

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