Solving a 1-D inverse medium scattering problem using a new multi-frequency globally strictly convex objective functional (Q2660779)
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| English | Solving a 1-D inverse medium scattering problem using a new multi-frequency globally strictly convex objective functional |
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Solving a 1-D inverse medium scattering problem using a new multi-frequency globally strictly convex objective functional (English)
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31 March 2021
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The authors of this article consider an inverse medium acoustic scattering problem using multi-frequency backscattering data in one dimension. Precisely, a new approach is developed in order to determine the dielectric constant of the medium of interest given the total field at a single location associated with multiple wave numbers. Ultimately, this results in a Carleman weighted objective functional that is shown to be globally strictly convex which needs to be minimized. Moreover, it is shown that the gradient projection method to solve the minimization problem is globally converging and an error estimate is provided, too. Hence, a good first initial guess within the iteration scheme is not required. Given numerical results complement the theory and show the performance of the novel algorithm.
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inverse scattering
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multi-frequency measurement
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global convergence
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error estimates
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Carleman estimates
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