Fourier method for identifying electromagnetic sources with multi-frequency far-field data
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 279-292 |
Journal / Publication | Journal of Computational and Applied Mathematics |
Volume | 358 |
Online published | 21 Mar 2019 |
Publication status | Published - 1 Oct 2019 |
Externally published | Yes |
Link(s)
Abstract
We consider the inverse problem of determining an unknown vectorial source current distribution associated with the homogeneous Maxwell system. We propose a novel non-iterative reconstruction method for solving the aforementioned inverse problem from multi-frequency far-field measurements. The method is based on recovering the Fourier coefficients of the unknown source. A key ingredient of the method is to establish the relationship between the Fourier coefficients and the multi-frequency far-field data. Uniqueness and stability results are established for the proposed reconstruction method. Numerical experiments are presented to illustrate the effectiveness and efficiency of the method.
Research Area(s)
- Far-field, Fourier expansion, Inverse source problem, Maxwell system, Multi-frequency
Citation Format(s)
Fourier method for identifying electromagnetic sources with multi-frequency far-field data. / Wang, Xianchao; Song, Minghui; Guo, Yukun et al.
In: Journal of Computational and Applied Mathematics, Vol. 358, 01.10.2019, p. 279-292.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review