The linear sampling method for inhomogeneous medium and buried objects from far field measurements | |
Qin, Haihua1; Liu, Xiaodong2![]() | |
刊名 | APPLIED NUMERICAL MATHEMATICS
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2016-07-01 | |
卷号 | 105页码:82-95 |
关键词 | Inverse acoustic scattering Linear sampling method Mixed reciprocity principle Inhomogeneous background Buried object |
ISSN号 | 0168-9274 |
DOI | 10.1016/j.apnum.2015.11.006 |
英文摘要 | We are concerned with the reconstruction of both the penetrable inhomogeneous medium and the buried impenetrable obstacle. Firstly, the classical linear sampling method is used to recover the support of the inhomogeneous medium, and then a modification of the linear sampling method is proposed for objects buried in a known layered medium. The main feature of our method is that it avoids using knowledge of the Green's function for the background media. Finally, some numerical experiments are presented to demonstrate the feasibility and effectiveness of our method. (C) 2016 IMACS. Published by Elsevier B.V. All rights reserved. |
资助项目 | NNSF of China[11501562] ; NNSF of China[11571355] ; Fundamental Research Funds for the Central Universities[2015QNA49] ; National Center for Mathematics and Interdisciplinary Sciences, CAS |
WOS研究方向 | Mathematics |
语种 | 英语 |
出版者 | ELSEVIER SCIENCE BV |
WOS记录号 | WOS:000375813300005 |
内容类型 | 期刊论文 |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/22633] ![]() |
专题 | 应用数学研究所 |
通讯作者 | Liu, Xiaodong |
作者单位 | 1.China Univ Min & Technol, Dept Math, Xuzhou 221116, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Appl Math, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Qin, Haihua,Liu, Xiaodong. The linear sampling method for inhomogeneous medium and buried objects from far field measurements[J]. APPLIED NUMERICAL MATHEMATICS,2016,105:82-95. |
APA | Qin, Haihua,&Liu, Xiaodong.(2016).The linear sampling method for inhomogeneous medium and buried objects from far field measurements.APPLIED NUMERICAL MATHEMATICS,105,82-95. |
MLA | Qin, Haihua,et al."The linear sampling method for inhomogeneous medium and buried objects from far field measurements".APPLIED NUMERICAL MATHEMATICS 105(2016):82-95. |
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