Sparse electromagnetic imaging using nonlinear iterative shrinkage thresholding

Abdulla Desmal, Hakan Baʇci

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2015 9th European Conference on Antennas and Propagation, EuCAP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
StatePublished - Apr 13 2015

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