An Accelerated Nonlinear Contrast Source Inversion Scheme for Sparse Electromagnetic Imaging

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