An Accelerated Nonlinear Contrast Source Inversion Scheme For Sparse Electromagnetic Imaging
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 schemes accuracy, efficiency, and applicability, are presented.
Keywords
Cite
@article{arxiv.1911.06020,
title = {An Accelerated Nonlinear Contrast Source Inversion Scheme For Sparse Electromagnetic Imaging},
author = {Ali I. Sandhu and Abdulla Desmal and Hakan Bagci},
journal= {arXiv preprint arXiv:1911.06020},
year = {2021}
}