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

Shilong Sun, Bert Jan Kooij, Alexander G. Yarovoy

Research output: Contribution to journalArticleScientific

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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 languageEnglish
Pages (from-to)94-97
Number of pages4
JournalIEEE Antennas and Wireless Propagation Letters
Volume17
Issue number1
DOIs
Publication statusPublished - 2018

Keywords

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

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