Superlens Enhanced 2-D Microwave Tomography With Contrast Source Inversion Method

The contrast source inversion (CSI) algorithm is one of the primary techniques used for solution of non-linear inverse problems in microwave tomography. In this paper, we describe a modification of the CSI method adapted to imaging of the 2-D objects in the presence of the focusing media under TM-po...

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Main Authors: Anton Menshov, Vladimir I. Okhmatovski
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Open Journal of Antennas and Propagation
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9380172/
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spelling doaj-4afbd60006134d569d8121989c759bcf2021-04-05T17:39:54ZengIEEEIEEE Open Journal of Antennas and Propagation2637-64312021-01-01245346310.1109/OJAP.2021.30663049380172Superlens Enhanced 2-D Microwave Tomography With Contrast Source Inversion MethodAnton Menshov0Vladimir I. Okhmatovski1https://orcid.org/0000-0002-1688-3691CEMWorks, Inc., Winnipeg, CanadaDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, CanadaThe contrast source inversion (CSI) algorithm is one of the primary techniques used for solution of non-linear inverse problems in microwave tomography. In this paper, we describe a modification of the CSI method adapted to imaging of the 2-D objects in the presence of the focusing media under TM-polarization. The focusing media is presented in the form of the Veselago lens. The data domain and imaging domain are properly positioned with respect to the location of the lens. Specifically, the sensors are located at the focal points of the lens with respect to the location of the individual pixels discretizing the contrast source. Such positioning of the source and observation locations in the presence of the lens, eliminates rank deficiency in the formulation of the inverse problem and results in significant improvements to both convergence speed of underlying conjugate gradient iterations and the accuracy of the image reconstruction in the CSI method.https://ieeexplore.ieee.org/document/9380172/Microwave tomographycontrast source inversionmicrowave imaginginverse problemfocusing mediaconjugate gradient
collection DOAJ
language English
format Article
sources DOAJ
author Anton Menshov
Vladimir I. Okhmatovski
spellingShingle Anton Menshov
Vladimir I. Okhmatovski
Superlens Enhanced 2-D Microwave Tomography With Contrast Source Inversion Method
IEEE Open Journal of Antennas and Propagation
Microwave tomography
contrast source inversion
microwave imaging
inverse problem
focusing media
conjugate gradient
author_facet Anton Menshov
Vladimir I. Okhmatovski
author_sort Anton Menshov
title Superlens Enhanced 2-D Microwave Tomography With Contrast Source Inversion Method
title_short Superlens Enhanced 2-D Microwave Tomography With Contrast Source Inversion Method
title_full Superlens Enhanced 2-D Microwave Tomography With Contrast Source Inversion Method
title_fullStr Superlens Enhanced 2-D Microwave Tomography With Contrast Source Inversion Method
title_full_unstemmed Superlens Enhanced 2-D Microwave Tomography With Contrast Source Inversion Method
title_sort superlens enhanced 2-d microwave tomography with contrast source inversion method
publisher IEEE
series IEEE Open Journal of Antennas and Propagation
issn 2637-6431
publishDate 2021-01-01
description The contrast source inversion (CSI) algorithm is one of the primary techniques used for solution of non-linear inverse problems in microwave tomography. In this paper, we describe a modification of the CSI method adapted to imaging of the 2-D objects in the presence of the focusing media under TM-polarization. The focusing media is presented in the form of the Veselago lens. The data domain and imaging domain are properly positioned with respect to the location of the lens. Specifically, the sensors are located at the focal points of the lens with respect to the location of the individual pixels discretizing the contrast source. Such positioning of the source and observation locations in the presence of the lens, eliminates rank deficiency in the formulation of the inverse problem and results in significant improvements to both convergence speed of underlying conjugate gradient iterations and the accuracy of the image reconstruction in the CSI method.
topic Microwave tomography
contrast source inversion
microwave imaging
inverse problem
focusing media
conjugate gradient
url https://ieeexplore.ieee.org/document/9380172/
work_keys_str_mv AT antonmenshov superlensenhanced2dmicrowavetomographywithcontrastsourceinversionmethod
AT vladimiriokhmatovski superlensenhanced2dmicrowavetomographywithcontrastsourceinversionmethod
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