Sparse electromagnetic imaging using nonlinear iterative shrinkage thresholding

Handle URI:
http://hdl.handle.net/10754/576158
Title:
Sparse electromagnetic imaging using nonlinear iterative shrinkage thresholding
Authors:
Desmal, Abdulla; Bagci, Hakan ( 0000-0003-3867-5786 )
Abstract:
A sparse nonlinear electromagnetic imaging scheme is proposed for reconstructing dielectric contrast of investigation domains from measured fields. The proposed approach constructs the optimization problem by introducing the sparsity constraint to the data misfit between the scattered fields expressed as a nonlinear function of the contrast and the measured fields and solves it using the nonlinear iterative shrinkage thresholding algorithm. The thresholding is applied to the result of every nonlinear Landweber iteration to enforce the sparsity constraint. Numerical results demonstrate the accuracy and efficiency of the proposed method in reconstructing sparse dielectric profiles.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Publisher:
IEEE
Journal:
Antennas and Propagation (EuCAP), 2015 9th European Conference on
Conference/Event name:
2015 9th European Conference on Antennas and Propagation (EuCAP)
Issue Date:
13-Apr-2015
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7228176&contentType=Conference+Publications
Appears in Collections:
Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorDesmal, Abdullaen
dc.contributor.authorBagci, Hakanen
dc.date.accessioned2015-09-01T11:47:48Zen
dc.date.available2015-09-01T11:47:48Zen
dc.date.issued2015-04-13en
dc.identifier.urihttp://hdl.handle.net/10754/576158en
dc.description.abstractA sparse nonlinear electromagnetic imaging scheme is proposed for reconstructing dielectric contrast of investigation domains from measured fields. The proposed approach constructs the optimization problem by introducing the sparsity constraint to the data misfit between the scattered fields expressed as a nonlinear function of the contrast and the measured fields and solves it using the nonlinear iterative shrinkage thresholding algorithm. The thresholding is applied to the result of every nonlinear Landweber iteration to enforce the sparsity constraint. Numerical results demonstrate the accuracy and efficiency of the proposed method in reconstructing sparse dielectric profiles.en
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7228176&contentType=Conference+Publicationsen
dc.subjectinverse scatteringen
dc.subjectLandweberen
dc.subjectmicrowave imagingen
dc.subjectnonlinear iterative shrinkageen
dc.subjectsparse optimizationen
dc.titleSparse electromagnetic imaging using nonlinear iterative shrinkage thresholdingen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalAntennas and Propagation (EuCAP), 2015 9th European Conference onen
dc.conference.date13-17 April 2015en
dc.conference.name2015 9th European Conference on Antennas and Propagation (EuCAP)en
dc.conference.locationLisbon, Portugalen
dc.eprint.versionPublisher's Version/PDFen
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