A sparsity-regularized Born iterative method for reconstruction of two-dimensional piecewise continuous inhomogeneous domains

Handle URI:
http://hdl.handle.net/10754/614804
Title:
A sparsity-regularized Born iterative method for reconstruction of two-dimensional piecewise continuous inhomogeneous domains
Authors:
Sandhu, Ali Imran; Desmal, Abdulla ( 0000-0003-0861-8908 ) ; Bagci, Hakan ( 0000-0003-3867-5786 )
Abstract:
A sparsity-regularized Born iterative method (BIM) is proposed for efficiently reconstructing two-dimensional piecewise-continuous inhomogeneous dielectric profiles. Such profiles are typically not spatially sparse, which reduces the efficiency of the sparsity-promoting regularization. To overcome this problem, scattered fields are represented in terms of the spatial derivative of the dielectric profile and reconstruction is carried out over samples of the dielectric profile's derivative. Then, like the conventional BIM, the nonlinear problem is iteratively converted into a sequence of linear problems (in derivative samples) and sparsity constraint is enforced on each linear problem using the thresholded Landweber iterations. Numerical results, which demonstrate the efficiency and accuracy of the proposed method in reconstructing piecewise-continuous dielectric profiles, are presented.
KAUST Department:
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2016 10th European Conference on Antennas and Propagation (EuCAP)
Conference/Event name:
2016 10th European Conference on Antennas and Propagation (EuCAP)
Issue Date:
10-Apr-2016
DOI:
10.1109/EuCAP.2016.7481446
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7481446
Appears in Collections:
Conference Papers

Full metadata record

DC FieldValue Language
dc.contributor.authorSandhu, Ali Imranen
dc.contributor.authorDesmal, Abdullaen
dc.contributor.authorBagci, Hakanen
dc.date.accessioned2016-06-27T10:43:25Z-
dc.date.available2016-06-27T10:43:25Z-
dc.date.issued2016-04-10-
dc.identifier.doi10.1109/EuCAP.2016.7481446-
dc.identifier.urihttp://hdl.handle.net/10754/614804-
dc.description.abstractA sparsity-regularized Born iterative method (BIM) is proposed for efficiently reconstructing two-dimensional piecewise-continuous inhomogeneous dielectric profiles. Such profiles are typically not spatially sparse, which reduces the efficiency of the sparsity-promoting regularization. To overcome this problem, scattered fields are represented in terms of the spatial derivative of the dielectric profile and reconstruction is carried out over samples of the dielectric profile's derivative. Then, like the conventional BIM, the nonlinear problem is iteratively converted into a sequence of linear problems (in derivative samples) and sparsity constraint is enforced on each linear problem using the thresholded Landweber iterations. Numerical results, which demonstrate the efficiency and accuracy of the proposed method in reconstructing piecewise-continuous dielectric profiles, are presented.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7481446en
dc.rightsArchived with thanks to 2016 10th European Conference on Antennas and Propagation (EuCAP)en
dc.subjectBorn iterative methoden
dc.subjectLandweber iterations microwave imagingen
dc.subjectdomain sparsificationen
dc.subjectiterative shrinkage thresholdingen
dc.subjectregularizationen
dc.titleA sparsity-regularized Born iterative method for reconstruction of two-dimensional piecewise continuous inhomogeneous domainsen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Divisionen
dc.identifier.journal2016 10th European Conference on Antennas and Propagation (EuCAP)en
dc.conference.date10-15 April 2016en
dc.conference.name2016 10th European Conference on Antennas and Propagation (EuCAP)en
dc.conference.locationDavos, Switzerlanden
dc.eprint.versionPublisher's Version/PDFen
kaust.authorImran Sandhu, Alien
kaust.authorDesmal, Abdullaen
kaust.authorBagci, Hakanen
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