Imaging of buried obstacles in a two-layered medium with phaseless far-field data

doi:10.1088/1361-6420/abec1d

CORC > 数学与系统科学研究院 > 中国科学院数学与系统科学研究院 > 应用数学研究所

	Imaging of buried obstacles in a two-layered medium with phaseless far-field data
	Li, Long 2; Yang, Jiansheng 2; Zhang, Bo 1,4,5; Zhang, Haiwen 3,5
刊名	INVERSE PROBLEMS
	2021-05-01
卷号	37 期号:5 页码:26
关键词	two-layered medium buried obstacle phaseless far-field data direct imaging method recursive Newton-type iteration algorithm
ISSN号	0266-5611
DOI	10.1088/1361-6420/abec1d
英文摘要	This paper is concerned with the inverse problem of reconstructing the location and shape of buried obstacles in the lower half-space of an unbounded two-layered medium in two dimensions from phaseless far-field data. Similarly to the homogenous background medium case, for this problem it is also true that the modulus of the far-field pattern is invariant under translations of the scattering obstacle if only one plane wave is used as the incident field, and thus it is impossible to determine the location of the obstacle from such phaseless far-field data. Based on the idea of using superpositions of two plane waves with different directions as the incident fields, a direct imaging algorithm is developed in this paper to locate the position of small anomalies with the intensity of the far-field pattern measured in the upper half-space. This is a nontrivial extension of our previous work (2018 Inverse Problems 34 104005) from the homogenous background medium case to the two-layered background medium case. Both the limited aperture measurement data and the presence of the two-layered background medium lead to difficulties in the theoretical analysis of the proposed imaging algorithm. To overcome the difficulties we employ the theory of oscillatory integrals. Further, with the aid of the imaging algorithm, a recursive Newton-type iteration algorithm in frequencies is proposed to reconstruct both the location and shape of extended obstacles. Finally, numerical experiments are presented to illustrate the feasibility of our algorithms.
资助项目	NNSF of China[11961141007] ; NNSF of China[61520106004] ; NNSF of China[11871466] ; Microsoft Research of Asia ; Youth Innovation Promotion Association CAS
WOS研究方向	Mathematics ; Physics
语种	英语
出版者	IOP PUBLISHING LTD
WOS记录号	WOS:000640393500001
内容类型	期刊论文
源URL	[http://ir.amss.ac.cn/handle/2S8OKBNM/58502]
专题	应用数学研究所
通讯作者	Zhang, Haiwen
作者单位	1.Chinese Acad Sci, LSEC, NCMIS, Beijing 100190, Peoples R China 2.Peking Univ, Sch Math Sci, LMAM, Beijing 100871, Peoples R China 3.Chinese Acad Sci, NCMIS, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Li, Long,Yang, Jiansheng,Zhang, Bo,et al. Imaging of buried obstacles in a two-layered medium with phaseless far-field data[J]. INVERSE PROBLEMS,2021,37(5):26.
APA	Li, Long,Yang, Jiansheng,Zhang, Bo,&Zhang, Haiwen.(2021).Imaging of buried obstacles in a two-layered medium with phaseless far-field data.INVERSE PROBLEMS,37(5),26.
MLA	Li, Long,et al."Imaging of buried obstacles in a two-layered medium with phaseless far-field data".INVERSE PROBLEMS 37.5(2021):26.