Sparsity Reconstruction Algorithm for Nonlinear Microwave Problems

Abstract : This paper analyzes a recent sparse reconstruction algorithm applied to the nonlinear inverse scattering problem arising in microwave imaging to determine the dielectric contrast from measured fields. The sparsity of contrast profile with respect to a certain base is a priori assumed. The proposed iterative algorithm of soft shrinkage type enforces the sparsity constraint at each nonlinear iteration. The scheme produces sharp and good reconstruction of dielectric profiles in sparse domains by adapting Barzilai and Borwein (BB) step size selection criteria and projection constraint on contrast by maintaining its convergence during the reconstruction. Numerical results show the effectiveness and accuracy of the proposed method by considering randomly measured fields and emphasizing the sensitivity of the choice of regularization parameter.
Type de document :
Communication dans un congrès
URSI Asia-Pacific Radio Science Conference (URSI AP-RASC), Aug 2016, Séoul, South Korea. S-B13a-5 (4 p.), 2016, Proceedings of the URSI Asia-Pacific Radio Science Conference (URSI RASC 2016). 〈10.1109/ursiap-rasc.2016.7601254 〉
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https://hal-centralesupelec.archives-ouvertes.fr/hal-01367564
Contributeur : Marc Lambert <>
Soumis le : vendredi 16 septembre 2016 - 13:27:07
Dernière modification le : jeudi 22 novembre 2018 - 14:33:32

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Hidayet Zaimaga, Marc Lambert. Sparsity Reconstruction Algorithm for Nonlinear Microwave Problems. URSI Asia-Pacific Radio Science Conference (URSI AP-RASC), Aug 2016, Séoul, South Korea. S-B13a-5 (4 p.), 2016, Proceedings of the URSI Asia-Pacific Radio Science Conference (URSI RASC 2016). 〈10.1109/ursiap-rasc.2016.7601254 〉. 〈hal-01367564〉

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