Extension of the GMMV-based Linear Method to Quantitative Inverse Scattering

Shilong Sun; Bert Jan Kooij; Alexander G. Yarovoy

doi:10.1109/LAWP.2017.2776526

Extension of the GMMV-based Linear Method to Quantitative Inverse Scattering

Shilong Sun, Bert Jan Kooij, Alexander G. Yarovoy

Microwave Sensing, Signals & Systems

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Abstract

The linear shape reconstruction method based on the generalized multiple measurement vectors model is a newly proposed approach which is able to effectively retrieve the morphological information of dielectric/metallic scatterers with competitive imaging resolution. In this letter, we have extended this approach to quantitative inversion, and the proposed approach turns out to be effective even for complicated scatterers and highly efficient in comparison to nonlinear iterative methods. The inverted results obtained by processing the transverse magnetic polarized Fresnel data-sets of the year 2005 demonstrate the validity of the proposed method in real applications.

Original language	English
Pages (from-to)	94-97
Number of pages	4
Journal	IEEE Antennas and Wireless Propagation Letters
Volume	17
Issue number	1
DOIs	https://doi.org/10.1109/LAWP.2017.2776526
Publication status	Published - 2018

Keywords

Generalized multiple measurement vectors (GMMV)
linear shape reconstruction method
quantitative inverse scattering
transverse magnetic (TM)

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10.1109/LAWP.2017.2776526

08118107Final published version, 667 KB

http://ieeexplore.ieee.org/document/8118107/

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title = "Extension of the GMMV-based Linear Method to Quantitative Inverse Scattering",

abstract = "The linear shape reconstruction method based on the generalized multiple measurement vectors model is a newly proposed approach which is able to effectively retrieve the morphological information of dielectric/metallic scatterers with competitive imaging resolution. In this letter, we have extended this approach to quantitative inversion, and the proposed approach turns out to be effective even for complicated scatterers and highly efficient in comparison to nonlinear iterative methods. The inverted results obtained by processing the transverse magnetic polarized Fresnel data-sets of the year 2005 demonstrate the validity of the proposed method in real applications.",

keywords = "Generalized multiple measurement vectors (GMMV), linear shape reconstruction method, quantitative inverse scattering, transverse magnetic (TM)",

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

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