3-D Linear Reconstruction of the Experimental Fresnel Data by the GMMV Inversion Method

Shilong Sun; Bert Jan Kooij; Alexander G. Yarovoy

doi:10.23919/ACESS.2018.8669152

3-D Linear Reconstruction of the Experimental Fresnel Data by the GMMV Inversion Method

Shilong Sun, Bert Jan Kooij, Alexander G. Yarovoy

Microwave Sensing, Signals & Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

In this paper, the generalized multiple measurement vectors (GMMV) linear inversion method is applied to the reconstruction of the 3-D Fresnel data, provided by the Institue Fresnel (Marseille, France). The results show that the GMMV-based method can obtain good resolution along the x- and y- axes, while poor resolution along the z-axis, because there were only receiving antennas distributed on the x-o-y plane, indicating that the diversity of the measurement angle is critical for the GMMV method.

Original language	English
Title of host publication	2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1-2
Number of pages	2
ISBN (Electronic)	978-0-9960078-4-9
DOIs	https://doi.org/10.23919/ACESS.2018.8669152
Publication status	Published - 2019
Event	ACES-China 2018: International Applied Electromagnetics Society Symposium in China - Beijing, China Duration: 29 Jul 2018 → 1 Aug 2018

Conference

Conference	ACES-China 2018
Country/Territory	China
City	Beijing
Period	29/07/18 → 1/08/18

Bibliographical note

green

Keywords

Image reconstruction
Imaging
Inverse problems
Receivers
Scattering
Shape
Integrated circuits

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10.23919/ACESS.2018.8669152

08669152Final published version, 407 KB

Cite this

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title = "3-D Linear Reconstruction of the Experimental Fresnel Data by the GMMV Inversion Method",

abstract = "In this paper, the generalized multiple measurement vectors (GMMV) linear inversion method is applied to the reconstruction of the 3-D Fresnel data, provided by the Institue Fresnel (Marseille, France). The results show that the GMMV-based method can obtain good resolution along the x- and y- axes, while poor resolution along the z-axis, because there were only receiving antennas distributed on the x-o-y plane, indicating that the diversity of the measurement angle is critical for the GMMV method.",

keywords = "Image reconstruction, Imaging, Inverse problems, Receivers, Scattering, Shape, Integrated circuits",

author = "Shilong Sun and Kooij, {Bert Jan} and Yarovoy, {Alexander G.}",

note = "green; ACES-China 2018 : International Applied Electromagnetics Society Symposium in China ; Conference date: 29-07-2018 Through 01-08-2018",

year = "2019",

doi = "10.23919/ACESS.2018.8669152",

language = "English",

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3-D Linear Reconstruction of the Experimental Fresnel Data by the GMMV Inversion Method. / Sun, Shilong; Kooij, Bert Jan ; Yarovoy, Alexander G.
2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018. Piscataway, NJ: IEEE, 2019. p. 1-2 8669152.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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N2 - In this paper, the generalized multiple measurement vectors (GMMV) linear inversion method is applied to the reconstruction of the 3-D Fresnel data, provided by the Institue Fresnel (Marseille, France). The results show that the GMMV-based method can obtain good resolution along the x- and y- axes, while poor resolution along the z-axis, because there were only receiving antennas distributed on the x-o-y plane, indicating that the diversity of the measurement angle is critical for the GMMV method.

AB - In this paper, the generalized multiple measurement vectors (GMMV) linear inversion method is applied to the reconstruction of the 3-D Fresnel data, provided by the Institue Fresnel (Marseille, France). The results show that the GMMV-based method can obtain good resolution along the x- and y- axes, while poor resolution along the z-axis, because there were only receiving antennas distributed on the x-o-y plane, indicating that the diversity of the measurement angle is critical for the GMMV method.

KW - Image reconstruction

KW - Imaging

KW - Inverse problems

KW - Receivers

KW - Scattering

KW - Shape

KW - Integrated circuits

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M3 - Conference contribution

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SP - 1

EP - 2

BT - 2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018

PB - IEEE

CY - Piscataway, NJ

T2 - ACES-China 2018

Y2 - 29 July 2018 through 1 August 2018

ER -

3-D Linear Reconstruction of the Experimental Fresnel Data by the GMMV Inversion Method

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