eprintid: 895
rev_number: 9
eprint_status: archive
userid: 14
dir: disk0/00/00/08/95
datestamp: 2024-09-20 07:27:39
lastmod: 2024-09-20 07:27:39
status_changed: 2024-09-20 07:27:39
type: monograph
metadata_visibility: show
creators_name: OLIVERI, Giacomo
creators_name: ANSELMI, Nicola
creators_name: SALUCCI, Marco
creators_name: POLI, Lorenzo
creators_name: MASSA, Andrea
creators_id: giacomo.oliveri@unitn.it
creators_id: nicola.anselmi.1@unitn.it
creators_id: marco.salucci@unitn.it
creators_id: lorenzo.poli@unitn.it
creators_id: andrea.massa@unitn.it
title: Compressive Sampling for Scattering Data Collection in Microwave Imaging
ispublished: pub
subjects: AWC
subjects: MCS
full_text_status: public
monograph_type: technical_report
keywords: Compressive Sensing, Inverse Scattering
Inverse Scattering (Free-space)
abstract: This research focuses on designing microwave imaging data acquisition systems. Initially, the collection of scattering data is framed using Compressive Sampling (CS), a technique
in signal processing that allows accurate reconstruction of signals from fewer samples than traditional methods like Nyquist-Shannon.
CS leverages the sparsity of signals to reduce the number of measurements required, making data acquisition more efficient. The problem is tackled by developing a novel incoherence-based bound on the Restricted Isometry Constant (RIC) of the observation matrix, which serves as the mathematical model for the acquisition system and incorporates the physical characteristics of microwave imaging.
Numerical experiments are performed to evaluate the method’s effectiveness in data acquisition and its impact on CS-based inversion, in comparison to typical Nyquist–Shannon sampling techniques.
date: 2024-09-13
publisher: ELEDIA Research Center - University of Trento
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[2] M. Salucci, A. Gelmini, L. Poli, G. Oliveri, and A. Massa, “Progressive compressive sensing for exploiting frequency-diversity in GPR imaging,” J. Electromagn. Waves Appl. J, vol. 32, no. 9, pp. 1164-1193, 2018.
[3] G. Oliveri, P.-P. Ding, and L. Poli “3D crack detection in anisotropic layered media through a sparseness-regularized solver,”IEEE Antennas Wireless Propag. Lett., vol. 14, pp. 1031-1034, 2015.
[4] Y. Zhong, F. Zardi, M. Salucci, G. Oliveri, and A. Massa, “Multiscaling differential contraction integral method for inverse scattering problems with inhomogeneous media,” IEEE Trans. Microw. Theory Tech., vol. 71, no. 9, pp. 4064-4079, Sep. 2023.
[5] X. Ye, F. Zardi, M. Salucci, and A. Massa, “Multiresolution subspace-based optimization method for the retrieval of 2-D perfect electric conductors,” IEEE Trans. Microw. Theory Tech., vol. 71, no. 4, pp. 1732-1744, Apr. 2023.
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[25] G. Oliveri, A. Randazzo, M. Pastorino, and A. Massa,“Electromagnetic imaging within the contrast-source formulation by means of the multiscaling inexact Newton method,” J. Opt. Soc. America A, vol. 29, no. 6, pp. 945-958, 2012.
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[29] A. Randazzo, G. Oliveri, A. Massa, and M. Pastorino, “Electromagnetic inversion with the multiscaling inexact-Newton method - Experimental validation,” Microwave Opt. Technol. Lett., vol. 53, no. 12, pp. 2834-2838, Dec. 2011.
[30] M. Benedetti, D. Lesselier, M. Lambert, and A. Massa, “Multiple shapes reconstruction by means of multi-region level sets,” IEEE Trans. Geosci. Remote Sensing, vol. 48, no. 5, pp. 2330-2342, May 2010.
[31] M. Benedetti, D. Lesselier, M. Lambert, and A. Massa, “A multi-resolution technique based on shape optimization for the reconstruction of homogeneous dielectric objects,” Inverse Problems, vol. 25, no. 1, pp. 1-26, Jan. 2009.
citation:   OLIVERI, Giacomo and ANSELMI, Nicola and SALUCCI, Marco and POLI, Lorenzo and MASSA, Andrea  (2024) Compressive Sampling for Scattering Data Collection in Microwave Imaging.  Technical Report. ELEDIA Research Center - University of Trento.     
document_url: http://www.eledia.org/students-reports/895/1/Compressive_Sampling_for_Scattering_Data_Collection_in_Microwave_Imaging.pdf