A new 2-D image reconstruction algorithm based on FDTD and design sensitivity analysis

No Weon Kang; Young Seek Chung; Changyul Cheon; Hyun Kyo Jung

doi:10.1109/TMTT.2002.805294

A new 2-D image reconstruction algorithm based on FDTD and design sensitivity analysis

No Weon Kang, Young Seek Chung, Changyul Cheon, Hyun Kyo Jung

School of Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

This paper proposes a numerical algorithm that reconstructs the complex permittivity profile of unknown scatterers by the design sensitivity analysis (DSA) and topology optimization technique. By introducing the DSA and adjoint-variable method, the derivatives of the error function with respect to the complex permittivity variables can be calculated, and the material property in each cell can be changed simultaneously using sensitivity information. The steepest descent method is used as an optimization technique. The proposed method is validated by applying it to reconstructions of unknown two-dimensional scatterers that are illuminated by TM^z with a Gaussian-pulsed plane wave.

Original language	English
Pages (from-to)	2734-2740
Number of pages	7
Journal	IEEE Transactions on Microwave Theory and Techniques
Volume	50
Issue number	12
DOIs	https://doi.org/10.1109/TMTT.2002.805294
State	Published - Dec 2002

Keywords

Design sensitivity analysis (DSA)
Finite-difference time-domain (FDTD) methods
Inverse problems
Topology optimization

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10.1109/TMTT.2002.805294

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title = "A new 2-D image reconstruction algorithm based on FDTD and design sensitivity analysis",

abstract = "This paper proposes a numerical algorithm that reconstructs the complex permittivity profile of unknown scatterers by the design sensitivity analysis (DSA) and topology optimization technique. By introducing the DSA and adjoint-variable method, the derivatives of the error function with respect to the complex permittivity variables can be calculated, and the material property in each cell can be changed simultaneously using sensitivity information. The steepest descent method is used as an optimization technique. The proposed method is validated by applying it to reconstructions of unknown two-dimensional scatterers that are illuminated by TMz with a Gaussian-pulsed plane wave.",

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AU - Chung, Young Seek

AU - Cheon, Changyul

AU - Jung, Hyun Kyo

PY - 2002/12

Y1 - 2002/12

N2 - This paper proposes a numerical algorithm that reconstructs the complex permittivity profile of unknown scatterers by the design sensitivity analysis (DSA) and topology optimization technique. By introducing the DSA and adjoint-variable method, the derivatives of the error function with respect to the complex permittivity variables can be calculated, and the material property in each cell can be changed simultaneously using sensitivity information. The steepest descent method is used as an optimization technique. The proposed method is validated by applying it to reconstructions of unknown two-dimensional scatterers that are illuminated by TMz with a Gaussian-pulsed plane wave.

AB - This paper proposes a numerical algorithm that reconstructs the complex permittivity profile of unknown scatterers by the design sensitivity analysis (DSA) and topology optimization technique. By introducing the DSA and adjoint-variable method, the derivatives of the error function with respect to the complex permittivity variables can be calculated, and the material property in each cell can be changed simultaneously using sensitivity information. The steepest descent method is used as an optimization technique. The proposed method is validated by applying it to reconstructions of unknown two-dimensional scatterers that are illuminated by TMz with a Gaussian-pulsed plane wave.

KW - Design sensitivity analysis (DSA)

KW - Finite-difference time-domain (FDTD) methods

KW - Inverse problems

KW - Topology optimization

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JO - IEEE Transactions on Microwave Theory and Techniques

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ER -

A new 2-D image reconstruction algorithm based on FDTD and design sensitivity analysis

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Keywords

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