Single measurement experimental data for an inverse medium problem inverted by a multi-frequency globally convergent numerical method

Authors: Michael Victor Klibanov, Nguyễn Hoàng Lộc, Nguyen Dinh Liem, Nguyễn Trung Thành, Aleksandr Kolesov,

https://doi.org/10.1016/j.apnum.2017.05.007

Publisher, magazine: ,

Publication year: 2017

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Abstract

The recently developed globally convergent numerical method for an inverse medium problem with the data resulting from a single measurement, proposed in [23], is tested on experimental data. The data were originally collected in the time domain, whereas the method works in the frequency domain with the multi-frequency data. Due to a significant amount of noise in the measured data, a straightforward application of the Fourier transform to these data does not work. Hence, we develop a heuristic data preprocessing procedure, which is described in the paper. The preprocessed data are used as the input for the inversion algorithm. Numerical results demonstrate a good accuracy of the reconstruction of both refractive indices and locations of targets.

Tags: experimental time-dependent data; multi-frequency data; global convergence; coefficient inverse problems; inverse medium problems; Helmholtz equation; Fourier transform; inversion algorithm; numerical result