2017 25th European Signal Processing Conference (EUSIPCO) 2017
DOI: 10.23919/eusipco.2017.8081300
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Sparse reconstruction algorithms for nonlinear microwave imaging

Abstract: Abstract-This paper presents a two-step inverse process which allows sparse recovery of the unknown (complex) dielectric profiles of scatterers for nonlinear microwave imaging. The proposed approach is applied to a nonlinear inverse scattering problem arising in microwave imaging and correlated with joint sparsity which gives multiple sparse solutions that share a common nonzero support. Numerical results demonstrate the potential of the proposed two step inversion approach when compared to existing sparse rec… Show more

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Cited by 4 publications
(2 citation statements)
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References 21 publications
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“…Mixed norms [37] such as 2,1 or ∞,1 are usually employed to impose both sparsity and structural prior information in the optimization problem [38]. In [39], as the row vectors of the contrast source share a common non-zero support, a two-step sparse recovery process is investigated where the 2,1 norm is to enforce joint sparsity on the contrast source.…”
Section: Introductionmentioning
confidence: 99%
“…Mixed norms [37] such as 2,1 or ∞,1 are usually employed to impose both sparsity and structural prior information in the optimization problem [38]. In [39], as the row vectors of the contrast source share a common non-zero support, a two-step sparse recovery process is investigated where the 2,1 norm is to enforce joint sparsity on the contrast source.…”
Section: Introductionmentioning
confidence: 99%
“…However, they are limited to the determination of the geometrical features and location of objects and cannot provide information regarding the dielectric properties. On the other hand, the application of non-linear inverse scattering algorithms enables the obtainment of the dielectric properties of the concealed objects at the expense of a time-consuming reconstruction process due to their iterative approach [35][36][37]. Moreover, in comparison to linear inverse scattering, the non-linear approach can be unreliable due to the presence of the local minima problem.…”
Section: Introductionmentioning
confidence: 99%