Imaging Internal Defects with Synthetic and Experimental Data

Joint Authors

Ma, Ling
Zhou, Hongwei
Hu, Guanghui

Source

International Journal of Antennas and Propagation

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-07-14

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Electronic engineering

Abstract EN

This work concerns an inverse time-dependent electromagnetic scattering problem of imaging internal defects in a homogeneous isotropic medium.

The position and cross section of the defects are detected by transient electromagnetic pulses in the case of TE polarization.

We apply the Kirchhoff migration scheme to locate the position of small objects from both synthetic and experimental data.

The multiple-input-multiple-out scheme is used to recover extended scatterers from the data generated by the software GprMax.

Numerical experiments show that the Kirchhoff migration method is not only efficient but also robust with respect to polluted data at high noise levels.

Experimental results show good quantitative agreement with numerical simulations.

American Psychological Association (APA)

Zhou, Hongwei& Hu, Guanghui& Ma, Ling. 2019. Imaging Internal Defects with Synthetic and Experimental Data. International Journal of Antennas and Propagation،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1157735

Modern Language Association (MLA)

Zhou, Hongwei…[et al.]. Imaging Internal Defects with Synthetic and Experimental Data. International Journal of Antennas and Propagation No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1157735

American Medical Association (AMA)

Zhou, Hongwei& Hu, Guanghui& Ma, Ling. Imaging Internal Defects with Synthetic and Experimental Data. International Journal of Antennas and Propagation. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1157735

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1157735