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.
