Three-dimensional sparse electromagnetic imaging accelerated by projected steepest descent

Handle URI:
http://hdl.handle.net/10754/622487
Title:
Three-dimensional sparse electromagnetic imaging accelerated by projected steepest descent
Authors:
Desmal, Abdulla ( 0000-0003-0861-8908 ) ; Bagci, Hakan ( 0000-0003-3867-5786 )
Abstract:
An efficient and accurate scheme for solving the nonlinear electromagnetic inverse scattering problem on three-dimensional sparse investigation domains is proposed. The minimization problem is constructed in such a way that the data misfit between measurements and scattered fields (which are expressed as a nonlinear function of the contrast) is constrained by the contrast's first norm. The resulting minimization problem is solved using nonlinear Landweber iterations accelerated using a steepest descent algorithm. A projection operator is applied at every iteration to enforce the sparsity constraint by thresholding the result of that iteration. Steepest descent algorithm ensures accelerated and convergent solution by utilizing larger iteration steps selected based on a necessary B-condition.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Desmal A, Bagci H (2016) Three-dimensional sparse electromagnetic imaging accelerated by projected steepest descent. 2016 IEEE International Symposium on Antennas and Propagation (APSURSI). Available: http://dx.doi.org/10.1109/APS.2016.7696222.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2016 IEEE International Symposium on Antennas and Propagation (APSURSI)
Conference/Event name:
2016 IEEE Antennas and Propagation Society International Symposium, APSURSI 2016
Issue Date:
2-Nov-2016
DOI:
10.1109/APS.2016.7696222
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/document/7696222/
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.accessioned2017-01-02T09:28:34Z-
dc.date.available2017-01-02T09:28:34Z-
dc.date.issued2016-11-02en
dc.identifier.citationDesmal A, Bagci H (2016) Three-dimensional sparse electromagnetic imaging accelerated by projected steepest descent. 2016 IEEE International Symposium on Antennas and Propagation (APSURSI). Available: http://dx.doi.org/10.1109/APS.2016.7696222.en
dc.identifier.doi10.1109/APS.2016.7696222en
dc.identifier.urihttp://hdl.handle.net/10754/622487-
dc.description.abstractAn efficient and accurate scheme for solving the nonlinear electromagnetic inverse scattering problem on three-dimensional sparse investigation domains is proposed. The minimization problem is constructed in such a way that the data misfit between measurements and scattered fields (which are expressed as a nonlinear function of the contrast) is constrained by the contrast's first norm. The resulting minimization problem is solved using nonlinear Landweber iterations accelerated using a steepest descent algorithm. A projection operator is applied at every iteration to enforce the sparsity constraint by thresholding the result of that iteration. Steepest descent algorithm ensures accelerated and convergent solution by utilizing larger iteration steps selected based on a necessary B-condition.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7696222/en
dc.subjectsparse reconstructionen
dc.subjectaccelerated steepest descenten
dc.subjectelectromagnetic imagingen
dc.subjectinverse scatteringen
dc.titleThree-dimensional sparse electromagnetic imaging accelerated by projected steepest descenten
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2016 IEEE International Symposium on Antennas and Propagation (APSURSI)en
dc.conference.date2016-06-26 to 2016-07-01en
dc.conference.name2016 IEEE Antennas and Propagation Society International Symposium, APSURSI 2016en
dc.conference.locationFajardo, PRIen
kaust.authorDesmal, Abdullaen
kaust.authorBagci, Hakanen
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