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.
https://hal-centralesupelec.archives-ouvertes.fr/hal-01587676
Contributor : Marc Lambert
<>
Submitted on : Friday, September 15, 2017 - 10:59:23 AM
Last modification on : Thursday, March 21, 2019 - 1:09:31 PM
Long-term archiving on : Saturday, December 16, 2017 - 1:02:00 PM
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. ⟨hal-01587676⟩
