Convexification and experimental data for a 3D inverse scattering problem with the moving point source

Authors: Võ Anh Khoa, Grant Bidney, Michael Victor Klibanov, Nguyễn Hoàng Lộc, Vasily N. Astratov, Nguyen H. Lam (HCMUT), Anders J. Sullivan,

https://doi.org/10.1088/1361-6420/ab95aa

Publisher, magazine: ,

Publication year: 2020

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Abstract

Inverse scattering problems of the reconstructions of physical properties of a medium from boundary measurements are substantially challenging ones. This work aims to verify the performance on experimentally collected data of a newly developed convexification method for a 3D coefficient inverse problem for the case of unknown objects buried in a sandbox. The measured backscatter data are generated by a point source moving along an interval of a straight line and the frequency is fixed. Using a special Fourier basis, the method of this work strongly relies on a new derivation of a boundary value problem for a system of coupled quasilinear elliptic equations. This problem, in turn, is solved via the minimization of a Tikhonov-like functional weighted by a Carleman weight function. Different from the continuous case, our weighted cost functional in the partial finite difference does not need the penalty term to gain the global convergence analysis. The numerical verification is performed using experimental data, which are raw backscatter data of the electric field. These data were collected using a microwave scattering facility at The University of North Carolina at Charlotte.

Tags: coefficient inverse problem; multiple point sources; experimental data; Carleman weight; global convergence; Fourier series