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

被引:11
|
作者
Wang, Xianchao [1 ]
Song, Minghui [1 ]
Guo, Yukun [1 ]
Li, Hongjie [2 ]
Liu, Hongyu [2 ]
机构
[1] Harbin Inst Technol, Dept Math, Harbin 150001, Heilongjiang, Peoples R China
[2] Hong Kong Baptist Univ, Dept Math, Kowloon, Hong Kong, Peoples R China
关键词
Inverse source problem; Maxwell system; Fourier expansion; Multi-frequency; Far-field; INVERSE SOURCE PROBLEM; TOMOGRAPHY;
D O I
10.1016/j.cam.2019.03.013
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:279 / 292
页数:14
相关论文
共 50 条
  • [1] Fourier method for recovering acoustic sources from multi-frequency far- field data
    Wang, Xianchao
    Guo, Yukun
    Zhang, Deyue
    Liu, Hongyu
    INVERSE PROBLEMS, 2017, 33 (03)
  • [2] Reconstruction of acoustic sources from multi-frequency phaseless far-field data
    Sun, Fenglin
    Wang, Xianchao
    JOURNAL OF INVERSE AND ILL-POSED PROBLEMS, 2023, 31 (02): : 177 - 189
  • [3] Far-field imaging with a multi-frequency metalens
    Jouvaud, C.
    Ourir, A.
    de Rosny, J.
    2013 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM (APSURSI), 2013, : 1430 - +
  • [4] Far-field imaging with a multi-frequency metalens
    Jouvaud, C.
    Ourir, A.
    de Rosny, J.
    APPLIED PHYSICS LETTERS, 2014, 104 (24)
  • [5] Recovering scattering obstacles by multi-frequency phaseless far-field data
    Zhang, Bo
    Zhang, Haiwen
    JOURNAL OF COMPUTATIONAL PHYSICS, 2017, 345 : 58 - 73
  • [6] A Fourier Method to Recover Elastic Sources with Multi-Frequency Data
    Song, Minghui
    Wang, Xianchao
    EAST ASIAN JOURNAL ON APPLIED MATHEMATICS, 2019, 9 (02) : 369 - 385
  • [7] Reconstruction of multipolar point sources with multi-frequency sparse far field data
    Ji, Xia
    INVERSE PROBLEMS, 2021, 37 (06)
  • [8] Scattered Far-Field Sampling in Multi-Static Multi-Frequency Configuration
    Maisto, Maria Antonia
    Masoodi, Mehdi
    Leone, Giovanni
    Solimene, Raffaele
    Pierri, Rocco
    SENSORS, 2021, 21 (14)
  • [9] Inverse electromagnetic obstacle scattering problems with multi-frequency sparse backscattering far field data
    Arens, Tilo
    Ji, Xia
    Liu, Xiaodong
    INVERSE PROBLEMS, 2020, 36 (10)
  • [10] Solving the multi-frequency electromagnetic inverse source problem by the Fourier method
    Wang, Guan
    Ma, Fuming
    Guo, Yukun
    Li, Jingzhi
    JOURNAL OF DIFFERENTIAL EQUATIONS, 2018, 265 (01) : 417 - 443