| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 5776593 | Applied Numerical Mathematics | 2017 | 21 Pages | 
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.
											Keywords
												
											Related Topics
												
													Physical Sciences and Engineering
													Mathematics
													Computational Mathematics
												
											Authors
												Aleksandr E. Kolesov, Michael V. Klibanov, Loc H. Nguyen, Dinh-Liem Nguyen, Nguyen T. Thành, 
											