Processing the Experimental Fresnel Data by the GMMV-based Shape Reconstruction Method

Conference paper (2017)

Authors

S. Sun Microwave Sensing, Signals & Systems -

B.J. Kooij Microwave Sensing, Signals & Systems -

Alexander Yarovoy Microwave Sensing, Signals & Systems -

Research Group

Microwave Sensing, Signals & Systems () (TU Delft)

Image reconstruction Integrated circuits Shape Permittivity Receivers Dielectrics Reconstruction algorithms

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http://resolver.tudelft.nl/uuid:ef1268a6-031c-4b37-9d43-ae228b72990d

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Published Date

2017

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Microwave Sensing, Signals & Systems

Abstract

This paper presents the application of the shape reconstruction method based on the generalized multiple measurement vectors (GMMV) model on the multi-frequency transverse magnetic (TM) and transverse electric (TE) polarized Fresnel data, measured by the Institue Fresnel (Marseille, France) from cylindrical objects. Finite difference frequency domain (FDFD) is applied to discretize the Maxwell's equations, and the contrast sources are solved iteratively by exploiting the joint sparsity as a regularized constraint. Cross validation (CV) technique is used to terminate the iterations and give the estimation of the noise level at the same time. The results show that the GMMV-based linear method successfully performs shape reconstruction of a large variety of scatterers.

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