Two-Step Extended Sampling Method for the Inverse Acoustic Source Problem

Joint Authors

Sun, Jiyu
Han, Yuhui

Source

Mathematical Problems in Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-02-07

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Civil Engineering

Abstract EN

Recently, a new method, called the extended sampling method (ESM), was proposed for the inverse scattering problems.

Similar to the classical linear sampling method (LSM), the ESM is simple to implement and fast.

Compared to the LSM which uses full-aperture scattering data, the ESM only uses the scattering data of one incident wave.

In this paper, we generalize the ESM for the inverse acoustic source problems.

We show that the indicator function of ESM, which is defined using the approximated solutions of some linear ill-posed integral equations, is small when the support of the source is contained in the sampling disc and is large when the source is outside.

This behavior is similar to the ESM for the inverse scattering problem.

Numerical examples are presented to show the effectiveness of the method.

American Psychological Association (APA)

Sun, Jiyu& Han, Yuhui. 2020. Two-Step Extended Sampling Method for the Inverse Acoustic Source Problem. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1196789

Modern Language Association (MLA)

Sun, Jiyu& Han, Yuhui. Two-Step Extended Sampling Method for the Inverse Acoustic Source Problem. Mathematical Problems in Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1196789

American Medical Association (AMA)

Sun, Jiyu& Han, Yuhui. Two-Step Extended Sampling Method for the Inverse Acoustic Source Problem. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1196789

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1196789