A modified CoSaMP algorithm for electromagnetic imaging of two dimensional domains

Handle URI:
http://hdl.handle.net/10754/624993
Title:
A modified CoSaMP algorithm for electromagnetic imaging of two dimensional domains
Authors:
Sandhu, Ali Imran; Bagci, Hakan ( 0000-0003-3867-5786 )
Abstract:
The compressive sampling matching pursuit (CoSaMP) algorithm is used for solving the electromagnetic inverse scattering problem on two-dimensional sparse domains. Since the scattering matrix, which is computed by sampling the Green function, does not satisfy the restricted isometry property, a damping parameter is added to the diagonal entries of the matrix to make the CoSaMP work. The damping factor can be selected based on the level of noise in the measurements. Numerical experiments, which demonstrate the accuracy and applicability of the proposed algorithm, are presented.
KAUST Department:
Division of Computer, Electrical, and Mathematical, Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
Citation:
Sandhu AI, Bagci H (2017) A modified CoSaMP algorithm for electromagnetic imaging of two dimensional domains. 2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES). Available: http://dx.doi.org/10.23919/ROPACES.2017.7916412.
Publisher:
IEEE
Journal:
2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES)
Issue Date:
13-May-2017
DOI:
10.23919/ROPACES.2017.7916412
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/document/7916412/
Appears in Collections:
Conference Papers

Full metadata record

DC FieldValue Language
dc.contributor.authorSandhu, Ali Imranen
dc.contributor.authorBagci, Hakanen
dc.date.accessioned2017-06-14T12:04:28Z-
dc.date.available2017-06-14T12:04:28Z-
dc.date.issued2017-05-13en
dc.identifier.citationSandhu AI, Bagci H (2017) A modified CoSaMP algorithm for electromagnetic imaging of two dimensional domains. 2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES). Available: http://dx.doi.org/10.23919/ROPACES.2017.7916412.en
dc.identifier.doi10.23919/ROPACES.2017.7916412en
dc.identifier.urihttp://hdl.handle.net/10754/624993-
dc.description.abstractThe compressive sampling matching pursuit (CoSaMP) algorithm is used for solving the electromagnetic inverse scattering problem on two-dimensional sparse domains. Since the scattering matrix, which is computed by sampling the Green function, does not satisfy the restricted isometry property, a damping parameter is added to the diagonal entries of the matrix to make the CoSaMP work. The damping factor can be selected based on the level of noise in the measurements. Numerical experiments, which demonstrate the accuracy and applicability of the proposed algorithm, are presented.en
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/7916412/en
dc.subjectDampingen
dc.subjectDielectricsen
dc.subjectElectromagnetic scatteringen
dc.subjectElectromagneticsen
dc.subjectImagingen
dc.subjectInverse problemsen
dc.subjectMatching pursuit algorithmsen
dc.titleA modified CoSaMP algorithm for electromagnetic imaging of two dimensional domainsen
dc.typeConference Paperen
dc.contributor.departmentDivision of Computer, Electrical, and Mathematical, Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabiaen
dc.identifier.journal2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES)en
kaust.authorSandhu, Ali Imranen
kaust.authorBagci, Hakanen
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