Sparse Reconstruction Algorithms for Nonlinear Microwave Imaging

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 recovery algorithm for the case of small scatterers.
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Communication dans un congrès
25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, Kos island, Greece. pp.743-747, European Signal Processing Conference (EUSIPCO 2017). 〈http://www.eusipco2017.org/〉
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  • HAL Id : hal-01587676, version 1

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Hidayet Zaimaga, Aurélia Fraysse, Marc Lambert. Sparse Reconstruction Algorithms for Nonlinear Microwave Imaging. 25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, Kos island, Greece. pp.743-747, European Signal Processing Conference (EUSIPCO 2017). 〈http://www.eusipco2017.org/〉. 〈hal-01587676〉

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