Microwave imaging of a conducting cylinder buried in a lossless half space by modified fireworks algorithm

Research output: Contribution to journalArticle

Abstract

In this article, the microwave imaging of a conducting cylinder buried in a lossless half space is given by the modified fireworks algorithm. The interface scattering effects are treated by the half-space Green's function. The target shape is represented by a Fourier series with finite terms. Image reconstruction is first transformed into an optimization problem. The variables are Fourier series coefficients of the target shape. The objective function is defined by comparing scattered electric fields from the guessed and true shapes, respectively. The transformed optimization problem is then solved by the modified fireworks algorithm. Numerical results show that the proposed image reconstruction scheme is accurate, converges well, and can tolerate multiple scattering effects.

Original languageEnglish
Pages (from-to)1374-1381
Number of pages8
JournalMicrowave and Optical Technology Letters
Volume60
Issue number6
DOIs
Publication statusPublished - 2018 Jun 1

Fingerprint

pyrotechnics
Fourier series
half spaces
Image reconstruction
Microwaves
image reconstruction
Imaging techniques
microwaves
conduction
Multiple scattering
Green's function
optimization
Electric fields
Scattering
scattering
Green's functions
electric fields
coefficients

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

Cite this

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abstract = "In this article, the microwave imaging of a conducting cylinder buried in a lossless half space is given by the modified fireworks algorithm. The interface scattering effects are treated by the half-space Green's function. The target shape is represented by a Fourier series with finite terms. Image reconstruction is first transformed into an optimization problem. The variables are Fourier series coefficients of the target shape. The objective function is defined by comparing scattered electric fields from the guessed and true shapes, respectively. The transformed optimization problem is then solved by the modified fireworks algorithm. Numerical results show that the proposed image reconstruction scheme is accurate, converges well, and can tolerate multiple scattering effects.",
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