Electromagnetic imaging of wave impenetrable objects

Xiuzhu Ye*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

A volume pixel subspace-based optimization method (SOM) is proposed to solve the electromagnetic imaging of the wave impenetrable objects/perfect electric conductor (PEC). In this proposed method, the PEC objects are approximated by highly lossy dielectric scatterers with pure imaginary permittivity and thus volume pixel SOM is successfully employed. There is no prior information such as the number and locations of scatterers required in the inversion. Synthetic data as well as experimental data are employed to test the validity of the method. The surface pixel SOM is also used to compare with this volume pixel SOM, showing that the computational cost of volume pixel SOM is reduced greatly and is much lower than the surface pixel SOM.

Original languageEnglish
Title of host publication2017 11th European Conference on Antennas and Propagation, EUCAP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1424-1428
Number of pages5
ISBN (Electronic)9788890701870
DOIs
Publication statusPublished - 15 May 2017
Externally publishedYes
Event11th European Conference on Antennas and Propagation, EUCAP 2017 - Paris, France
Duration: 19 Mar 201724 Mar 2017

Publication series

Name2017 11th European Conference on Antennas and Propagation, EUCAP 2017

Conference

Conference11th European Conference on Antennas and Propagation, EUCAP 2017
Country/TerritoryFrance
CityParis
Period19/03/1724/03/17

Keywords

  • Conductors
  • Imaging
  • Inverse problems

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Ye, X. (2017). Electromagnetic imaging of wave impenetrable objects. In 2017 11th European Conference on Antennas and Propagation, EUCAP 2017 (pp. 1424-1428). Article 7928044 (2017 11th European Conference on Antennas and Propagation, EUCAP 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/EuCAP.2017.7928044