Show simple item record

dc.contributor.authorDesmal, Abdulla
dc.contributor.authorBagci, Hakan
dc.date.accessioned2015-09-01T11:47:48Z
dc.date.available2015-09-01T11:47:48Z
dc.date.issued2015-04-13
dc.identifier.urihttp://hdl.handle.net/10754/576158
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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7228176&contentType=Conference+Publications
dc.subjectinverse scattering
dc.subjectLandweber
dc.subjectmicrowave imaging
dc.subjectnonlinear iterative shrinkage
dc.subjectsparse optimization
dc.titleSparse electromagnetic imaging using nonlinear iterative shrinkage thresholding
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalAntennas and Propagation (EuCAP), 2015 9th European Conference on
dc.conference.date13-17 April 2015
dc.conference.name2015 9th European Conference on Antennas and Propagation (EuCAP)
dc.conference.locationLisbon, Portugal
dc.eprint.versionPublisher's Version/PDF
refterms.dateFOA2018-06-13T13:23:13Z


Files in this item

Thumbnail
Name:
07228176.pdf
Size:
1.316Mb
Format:
PDF
Description:
Main article

This item appears in the following Collection(s)

Show simple item record