TY - JOUR
T1 - Single measurement experimental data for an inverse medium problem inverted by a multi-frequency globally convergent numerical method
AU - Kolesov, Aleksandr E.
AU - Klibanov, Michael V.
AU - Nguyen, Loc H.
AU - Nguyen, Dinh Liem
AU - Thành, Nguyen T.
N1 - Publisher Copyright:
© 2017 IMACS
PY - 2017/10
Y1 - 2017/10
N2 - 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.
AB - 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.
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U2 - 10.1016/j.apnum.2017.05.007
DO - 10.1016/j.apnum.2017.05.007
M3 - Article
AN - SCOPUS:85020310414
SN - 0168-9274
VL - 120
SP - 176
EP - 196
JO - Applied Numerical Mathematics
JF - Applied Numerical Mathematics
ER -