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

Journal article (2018)

Authors

S. Sun Microwave Sensing, Signals & Systems - EEMCS
B.J. Kooij Microwave Sensing, Signals & Systems - EEMCS
Alexander Yarovoy Microwave Sensing, Signals & Systems - EEMCS
Research Group
Microwave Sensing, Signals & Systems (EEMCS) (TU Delft)
Copyright: © 2018 S. Sun, B.J. Kooij, Alexander Yarovoy
DOI
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https://doi.org/10.1109/LAWP.2017.2776526
Transverse magnetic (TM) Generalized multiple measurement vectors (GMMV) Linear shape reconstruction method Quantitative inverse scattering
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Published Date

2018

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Microwave Sensing, Signals & Systems

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.

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