A Multi-Frequency Sampling Method for the Inverse Source Problems with Sparse Measurements

被引:0
|
作者
Liu, Xiaodong [1 ]
Meng, Shixu [1 ]
机构
[1] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
来源
CSIAM TRANSACTIONS ON APPLIED MATHEMATICS | 2023年 / 4卷 / 04期
基金
北京市自然科学基金;
关键词
Sampling method; multi-frequency; sparse data; inverse source problems; FACTORIZATION METHOD; SCATTERING PROBLEMS; RECONSTRUCTION; NONUNIQUENESS;
D O I
10.4208/csiam-am.SO-2022-0052
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We consider the inverse source problems with multi-frequency sparse near field measurements. In contrast to the existing near field operator based on the integral over the space variable, a multi-frequency near field operator is introduced based on the integral over the frequency variable. A factorization of this multi-frequency near field operator is further given and analyzed. Based on such a factorization, we introduce a single-receiver multi-frequency sampling method to reconstruct a shell support of the source. Its theoretical foundation is derived from the properties of the factorized operators and a properly chosen point spread function. Numerical examples are provided to illustrate the multi-frequency sampling method with sparse near field measurements. Finally we briefly discuss how to extend the near field case to the far field case.
引用
收藏
页码:653 / 671
页数:19
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