Fourier method for recovering acoustic sources from multi-frequency far-field data

We consider an inverse source problem of determining a source term in the Helmholtz equation from multi-frequency far-field measurements. Based on the Fourier series expansion, we develop a novel non-iterative reconstruction method for solving the problem. A promising feature of this method is that...

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Veröffentlicht in:Inverse problems 2017-03, Vol.33 (3), p.35001
Hauptverfasser: Wang, Xianchao, Guo, Yukun, Zhang, Deyue, Liu, Hongyu
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container_title Inverse problems
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creator Wang, Xianchao
Guo, Yukun
Zhang, Deyue
Liu, Hongyu
description We consider an inverse source problem of determining a source term in the Helmholtz equation from multi-frequency far-field measurements. Based on the Fourier series expansion, we develop a novel non-iterative reconstruction method for solving the problem. A promising feature of this method is that it utilizes the data from only a few observation directions for each frequency. Theoretical uniqueness and stability analysis are provided. Numerical experiments are conducted to illustrate the effectiveness and efficiency of the proposed method in both two and three dimensions.
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subjects far-field
Fourier expansion
Helmholtz equation
inverse source problem
multi-frequency
title Fourier method for recovering acoustic sources from multi-frequency far-field data
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