eprintid: 796 rev_number: 9 eprint_status: archive userid: 10 dir: disk0/00/00/07/96 datestamp: 2019-06-13 09:26:00 lastmod: 2019-06-13 09:26:00 status_changed: 2019-06-13 09:26:00 type: monograph metadata_visibility: show creators_name: OLIVERI, Giacomo creators_name: Poli, Lorenzo creators_name: Anselmi, Nicola creators_name: SALUCCI, Marco creators_name: MASSA, Andrea creators_id: giacomo.oliveri@unitn.it creators_id: lorenzo.poli@unitn.it creators_id: nicola.anselmi.1@unitn.it creators_id: marco.salucci@unitn.it creators_id: andrea.massa@unitn.it title: An innovative Sparseness‐Promoting Inverse Scattering Approach Based on the Born Iterative Method ispublished: pub subjects: AWC subjects: MCS full_text_status: public monograph_type: technical_report keywords: Microwave Imaging, Inverse Scattering, Compressive Sensing, Born Iterative Method abstract: In this work, non‐Born targets are imaged through a novel inverse scattering (IS) methodology in microwave regime. The proposed method is based on a sparseness‐promoting approach formulated within the single‐task Bayesian compressive sensing (ST‐BCS) framework. Moreover, the ST‐BCS solver is effectively combined with a Born iterative method (BIM) inversion strategy to retrieve the target contrast while estimating the total electric field inside the imaged domain without recurring to time‐consuming full‐wave simulations. Some preliminary numerical results are reported to assess the effectiveness of the proposed BIM‐ST‐BCS method, as well as to highlight its current limitations. publisher: ELEDIA Research Center - University of Trento referencetext: [1] G. Oliveri, M. Salucci, N. Anselmi, and A. Massa, "Compressive sensing as applied to inverse problems for imaging: theory, applications, current trends, and open challenges," IEEE Antennas Propag. Mag., vol. 59, no. 5, pp. 34-46, Oct. 2017. [2] A. Massa, P. Rocca, and G. Oliveri, "Compressive sensing in electromagnetics - A review," IEEE Antennas Propag. Mag., pp. 224-238, vol. 57, no. 1, Feb. 2015. [3] G. Oliveri, L. Poli, N. Anselmi, M. Salucci, and A. Massa, "Compressive sensing-based Born iterative method for tomographic imaging," IEEE Trans. Microw. Theory Techn., vol. 67, no. 5, pp. 1753-1765, May 2019. [4] M. Salucci, A. Gelmini, L. Poli, G. Oliveri, and A. Massa, "Progressive compressive sensing for exploiting frequency-diversity in GPR imaging," Journal of Electromagnetic Waves and Applications, vol. 32, no. 9, pp. 1164-1193, 2018. [5] N. Anselmi, L. Poli, G. Oliveri, and A. Massa, "Iterative multi-resolution bayesian CS for microwave imaging," IEEE Trans. Antennas Propag., vol. 66, no. 7, pp. 3665-3677, Jul. 2018. [6] N. Anselmi, G. Oliveri, M. A. Hannan, M. Salucci, and A. Massa, "Color compressive sensing imaging of arbitrary-shaped scatterers," IEEE Trans. Microw. Theory Techn., vol. 65, no. 6, pp. 1986-1999, Jun. 2017. [7] N. Anselmi, G. 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Oliveri, "Full-vectorial 3D microwave imaging of sparse scatterers through a multi-task Bayesian compressive sensing approach," Journal of Imaging, vol. 5, no. 1, pp. 1-24, Jan. 2019. citation: OLIVERI, Giacomo and Poli, Lorenzo and Anselmi, Nicola and SALUCCI, Marco and MASSA, Andrea An innovative Sparseness‐Promoting Inverse Scattering Approach Based on the Born Iterative Method. Technical Report. ELEDIA Research Center - University of Trento. document_url: http://www.eledia.org/students-reports/796/1/An_Innovative_Sparseness-Promoting_Inverse_Scattering_Approach_Based_on_the_Born_Iterative_Method.pdf