Globally convergent and adaptive finite element methods in imaging of buried objects from experimental backscattering radar measurements
Journal article, 2015
We consider a two-stage numerical procedure for imaging of objects buried in dry sand using time-dependent backscattering experimental radar measurements. These measurements are generated by a single point source of electric pulses and are collected using a microwave scattering facility which was built at the University of North Carolina at Charlotte. Our imaging problem is formulated as the inverse problem of the reconstruction of the spatially distributed dielectric constant, which is an unknown coefficient in Maxwell’s equations.
Globally convergent algorithm
Refractive indices
Adaptive finite element method
Inverse scattering
Author
Larisa Beilina
Chalmers, Mathematical Sciences, Mathematics
University of Gothenburg
Nguyen Trung Thanh
Iowa State University
M.V. Klibanov
The University of North Carolina at Charlotte
John Bondestam Malmberg
Chalmers, Mathematical Sciences, Mathematics
University of Gothenburg
Journal of Computational and Applied Mathematics
0377-0427 (ISSN)
Vol. 289 371-391 9898Subject Categories
Mathematics
DOI
10.1016/j.cam.2014.11.055