On sparsity-enforced microwave inverse scattering
Résumé
A sparse nonlinear inverse scattering problem
arising in microwave imaging is analyzed and numerically
solved for reconstructing dielectric contrast of region of interest
from measured fields. The proposed approach is motivated by
a Tikhonov functional incorporating a sparsity promoting l1-
penalty term. The proposed iterative algorithm of soft shrinkage
type enforces the sparsity constraint at each nonlinear
iteration in reconstructing dielectric profiles.