An Accelerated Nonlinear Contrast Source Inversion Scheme for Sparse Electromagnetic Imaging

Ali Imran Sandhu, Abdulla Desmal, Hakan Bagci

Research output: Contribution to journalArticlepeer-review

Abstract

An efficient nonlinear contrast source inversion scheme for electromagnetic imaging of sparse two-dimensional investigation domains is proposed. To avoid generating a sequence of linear sparse optimization problems, the non-linearity is directly tackled using the nonlinear Landweber (NLW) iterations. A self-adaptive projected accelerated steepest descent (A-PASD) algorithm is incorporated to enhance the efficiency of the NLW iterations. The algorithm enforces the sparsity constraint by projecting the result of each steepest descent iteration into the L1-norm ball and selects the largest-possible iteration step without sacrificing from convergence. Numerical results, which demonstrate the proposed scheme’s accuracy, efficiency, and applicability, are presented.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Access
DOIs
StatePublished - 2021

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science(all)
  • Materials Science(all)

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