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Inverse electromagnetic obstacle scattering problems with multi-frequency sparse backscattering far field data
Arens,Tilo1; Ji,Xia2,3; Liu,Xiaodong4
2020-09-24
发表期刊Inverse Problems
ISSN0266-5611
卷号36期号:10
摘要AbstractThis paper is dedicated to design a direct sampling method of inverse electromagnetic scattering problems, which uses multi-frequency sparse backscattering far field data for reconstructing the boundaries of perfectly conducting obstacles. We show that the smallest strip containing the unknown object can be approximately determined by the multi-frequency backscattering far field data at two opposite observation directions. The proof is based on the Kirchhoff approximation and Fourier transform. Such a strip is then reconstructed by an indicator, which is the absolute value of an integral of the product of the data and some properly chosen function over the frequency interval. With the increase of the number of the backscattering data, the location and shape of the underlying object can be reconstructed. Numerical examples are conducted to show the validity and robustness of the proposed sampling method, even with moderately sized frequencies. The numerical examples also show that the concave part of the underlying object can be well reconstructed, and the different connected components of the underlying object can be well separated.
关键词electromagnetic obstacle scattering sparse backscattering data uniqueness direct sampling methods
DOI10.1088/1361-6420/abb5e2
语种英语
WOS记录号IOP:0266-5611-36-10-abb5e2
出版者IOP Publishing
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/52127
专题应用数学研究所
作者单位1.Department of Mathematics, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany
2.School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
3.Beijing Key Laboratory on MCAACI, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
4.Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190 Beijing, People’s Republic of China
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GB/T 7714
Arens,Tilo,Ji,Xia,Liu,Xiaodong. Inverse electromagnetic obstacle scattering problems with multi-frequency sparse backscattering far field data[J]. Inverse Problems,2020,36(10).
APA Arens,Tilo,Ji,Xia,&Liu,Xiaodong.(2020).Inverse electromagnetic obstacle scattering problems with multi-frequency sparse backscattering far field data.Inverse Problems,36(10).
MLA Arens,Tilo,et al."Inverse electromagnetic obstacle scattering problems with multi-frequency sparse backscattering far field data".Inverse Problems 36.10(2020).
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