This paper discusses an inverse scattering problem for the
reconstruction of permittivity distribution of two-dimensional
dielectric objects. Based on the boundary condition and the measured
scattered field, a set of nonlinear integral equation is derived and
the imaging problem is reformulated into optimization problem. We
solved the problem by combining subspace-based algorithm and
self-adaptive dynamic differential evolution (SADDE). SADDE can
process numerous unknowns of electromagnetic imaging problems.
Different scatterers and environment have used to verify the stability
of subspace-based algorithm and SADDE. We also compare genetic
algorithm (GA) to show the robustness and the searching speed of
SADDE. Numerical results show that the permittivity distribution of
the dielectric objects is well reconstructed by SADDE.
關聯:
Journal of Electromagnetic Waves and Applications 32, p.77-91
