eprintid: 798
rev_number: 9
eprint_status: archive
userid: 10
dir: disk0/00/00/07/98
datestamp: 2019-07-03 18:04:02
lastmod: 2019-07-03 18:04:02
status_changed: 2019-07-03 18:04:02
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 Hybrid Multi‐Task Bayesian Compressive Born Iterative Microwave Imaging Approach
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: This work presents an innovative microwave imaging method to retrieve non‐weak targets  in  the  compressive  sensing  (CS)  framework.  In  order  to  avoid  the  contrast source  formulation  (CSF)  of  the  arising  inverse  scattering  (IS)  problem,  a  Born Iterative  (BI)  formulation  is  adopted,  and  the  estimation  of  the  unknown  contrast function within the imaged domain is carried out by means of an iterative approach thanks to a customized multi‐task Bayesian compressive sensing (MT‐BCS) method. Some  preliminary  results  are  reported  in  order  to  verify  the  effectiveness  of  the 
proposed  hybrid  BI‐MT‐BCS  solution  strategy,  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. Oliveri, M. Salucci, and A. Massa, "Wavelet-based compressive imaging of sparse targets," IEEE Trans. Antennas Propag., vol. 63, no. 11, pp. 4889-4900, Nov. 2015.
 
[8] G. Oliveri, N. Anselmi, and A. Massa, "Compressive sensing imaging of non-sparse 2D scatterers by a total-variation approach within the Born approximation," IEEE Trans. Antennas Propag., vol. 62, no. 10, pp. 5157-5170, Oct. 2014.
 
[9] L. Poli, G. Oliveri, and A. Massa, "Imaging sparse metallic cylinders through a local shape function Bayesian compressive sensing approach," Journal of Optical Society of America A, vol. 30, no. 6, pp. 1261-1272, 2013.
 
[10] L. Poli, G. Oliveri, F. Viani, and A. Massa, "MT-BCS-based microwave imaging approach through minimum-norm current expansion," IEEE Trans. Antennas Propag., vol. 61, no. 9, pp. 4722-4732, Sep. 2013.
 
[11] L. Poli, G. Oliveri, P. Rocca, and A. Massa, "Bayesian compressive sensing approaches for the reconstruction of two-dimensional sparse scatterers under TE illumination," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 5, pp. 2920-2936, May 2013.
 
[12] L. Poli, G. Oliveri, and A. Massa, "Microwave imaging within the first-order Born approximation by means of the contrast-field Bayesian compressive sensing," IEEE Trans. Antennas Propag., vol. 60, no. 6, pp. 2865-2879, Jun. 2012.
 
[13] G. Oliveri, L. Poli, P. Rocca, and A. Massa, "Bayesian compressive optical imaging within the Rytov approximation," Optics Letters, vol. 37, no. 10, pp. 1760-1762, 2012.
 
[14] G. Oliveri, P. Rocca, and A. Massa, "A Bayesian compressive sampling-based inversion for imaging sparse scatterers," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 10, pp. 3993-4006, Oct. 2011.
 
[15] M. Salucci, A. Gelmini, G. Oliveri, and A. Massa, "Planar arrays diagnosis by means of an advanced Bayesian compressive processing," IEEE Trans. Antennas Propag., vol. 66, no. 11, pp. 5892-5906, Nov. 2018.
 
[16] L. Poli, G. Oliveri, P. Rocca, M. Salucci, and A. Massa, "Long-distance WPT unconventional arrays synthesis," Journal of Electromagnetic Waves and Applications, vol. 31, no. 14, pp. 1399-1420, Jul. 2017.
 
[17] G. Oliveri, M. Salucci, and A. Massa, "Synthesis of modular contiguously clustered linear arrays through a sparseness-regularized solver," IEEE Trans. Antennas Propag., vol. 64, no. 10, pp. 4277-4287, Oct. 2016.
 
[18] P. Rocca, M. A. Hannan, M. Salucci, and A. Massa, "Single-snapshot DoA estimation in array antennas with mutual coupling through a multi-scaling BCS strategy," IEEE Trans. Antennas Propag., vol. 65, no. 6, pp. 3203-3213, Jun. 2017.
 
[19] M. Salucci, L. Poli, and G. 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 Hybrid Multi‐Task Bayesian Compressive Born Iterative Microwave Imaging Approach.  Technical Report. ELEDIA Research Center - University of Trento.     
document_url: http://www.eledia.org/students-reports/798/1/An_Hybrid_Multi-Task_Bayesian_Compressive_Born_Iterative_Microwave_Imaging_Approach.pdf