Fourier method for identifying electromagnetic sources with multi-frequency far-field data

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 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.

[1]  Nicolas Valdivia,et al.  Acoustic source identification using multiple frequency information , 2009 .

[2]  Gunther Uhlmann,et al.  Determining both sound speed and internal source in thermo- and photo-acoustic tomography , 2015, 1502.01172.

[3]  Sailing He,et al.  Identification of dipole sources in a bounded domain for Maxwell's equations , 1998 .

[4]  Yukun Guo,et al.  Fourier method for solving the multi-frequency inverse source problem for the Helmholtz equation , 2015 .

[5]  I. V. Lindell,et al.  TE/TM decomposition of electromagnetic sources , 1988 .

[6]  Mark A. Anastasio,et al.  Application of inverse source concepts to photoacoustic tomography , 2007 .

[7]  T. Ha-Duong,et al.  On an inverse source problem for the heat equation. Application to a pollution detection problem , 2002 .

[8]  Gang Bao,et al.  Stability for the inverse source problems in elastic and electromagnetic waves , 2017, Journal de Mathématiques Pures et Appliquées.

[9]  Xiaodong Liu,et al.  Fast acoustic source imaging using multi-frequency sparse data , 2017, Inverse Problems.

[10]  A. S. Fokas,et al.  The unique determination of neuronal currents in the brain via magnetoencephalography , 2004 .

[11]  Michael V. Klibanov,et al.  Thermoacoustic tomography with an arbitrary elliptic operator , 2012, 1208.5187.

[12]  I. Lindell Dyadic Green Functions in Electromagnetic Theory by Chen-To-Tai.Book review. , 1994 .

[13]  Victor Isakov,et al.  Inverse Source Problems , 1990 .

[14]  Nicolas Valdivia Electromagnetic source identification using multiple frequency information , 2012 .

[15]  S. Arridge Optical tomography in medical imaging , 1999 .

[16]  Takaaki Nara,et al.  Inverse dipole source problem for time-harmonic Maxwell equations: algebraic algorithm and Hölder stability , 2012 .

[17]  Gang Bao,et al.  Stability in the inverse source problem for elastic and electromagnetic waves with multi-frequencies , 2017 .

[18]  R. Kress,et al.  Inverse Acoustic and Electromagnetic Scattering Theory , 1992 .

[19]  Gang Bao,et al.  An Inverse Source Problem for Maxwell's Equations in Magnetoencephalography , 2002, SIAM J. Appl. Math..

[20]  Yukun Guo,et al.  Fourier method for recovering acoustic sources from multi-frequency far-field data , 2017 .

[21]  Michael V. Klibanov,et al.  The Quasi-Reversibility Method for Thermoacoustic Tomography in a Heterogeneous Medium , 2007, SIAM J. Sci. Comput..

[22]  Anthony J Devaney,et al.  Nonradiating sources with connections to the adjoint problem. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[23]  Guan Wang,et al.  Solving the multi-frequency electromagnetic inverse source problem by the Fourier method , 2017, Journal of Differential Equations.

[24]  Peter Monk,et al.  The inverse source problem for Maxwell's equations , 2006 .

[25]  Jack K. Cohen,et al.  Nonuniqueness in the inverse source problem in acoustics and electromagnetics , 1975 .