eprintid: 745
rev_number: 16
eprint_status: archive
userid: 7
dir: disk0/00/00/07/45
datestamp: 2017-08-23 14:52:46
lastmod: 2024-04-02 08:30:51
status_changed: 2024-04-02 08:30:51
type: monograph
metadata_visibility: show
creators_name: Anselmi, N.
creators_name: Oliveri, G.
creators_name: Hannan, M.
creators_name: Salucci, M.
creators_name: Massa, A.
title: Dictionary‐Based Bayesian Compressive Sensing for Imaging Arbitrary Scatterers
ispublished: pub
subjects: AWC
subjects: MCS
full_text_status: public
monograph_type: technical_report
keywords: Inverse Scattering (IS), Bayesian Compressive Sensing (BCS), Microwave Imaging, First Order Born Approximation
abstract: This work deals with an innovative free-space inverse scattering technique. The developed methodology is based on the exploitation of a Bayesian Compressive Sensing (BCS) solver and a set (or dictionary) of expansion bases. Several BCS-regularized reconstructions are performed using the different bases in the dictionary, and the sparsest solution is selected as the most reliable one. Thanks to such an approach, (i) no a-priori information about the unknown scatterers is required, and (ii) it is possible to extend the range of applicability of standard BCS-based inversion to objects having arbitrary size and shape. In order to verify the effectiveness of the proposed technique, as well as to test its robustness to noise, some illustrative numerical results are shown in the following.
date: 2015
publisher: ELEDIA Research Center - University of Trento
referencetext: 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.

A. Massa and F. Texeira, Guest-Editorial: Special Cluster on Compressive Sensing as Applied to Electromagnetics, IEEE Antennas Wireless Propag. Lett., vol. 14, pp. 1022-1026, 2015.

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.

L. Poli, G. Oliveri, and A. Massa, “Imaging sparse metallic cylinders through a Local Shape Function Bayesian Compressive Sensing approach,” J. Opt. Soc. Am. A, vol. 30, no. 6, pp. 1261-1272, 2013.

F. Viani, L. Poli, G. Oliveri, F. Robol, and A. Massa, “Sparse scatterers imaging through approximated multitask compressive sensing strategies,” Microwave Opt. Technol. Lett., vol. 55, no. 7, pp. 1553-1558, Jul. 2013.

M. Salucci, G. Oliveri, and A. Massa, “GPR prospecting through an inverse scattering frequency-hopping multi-focusing approach,” IEEE Trans. Geosci. Remote Sens., vol. 53, no. 12, pp. 6573-6592, Dec. 2015.

M. Salucci, L. Poli, N. Anselmi and A. Massa, “Multifrequency particle swarm optimization for enhanced multiresolution GPR microwave imaging,” IEEE Trans. Geosci. Remote Sens., vol. 55, no. 3, pp. 1305-1317, Mar. 2017.

M. Salucci, L. Poli, and A. Massa, “Advanced multi-frequency GPR data processing for non-linear deterministic imaging,” Signal Processing - Special Issue on 'Advanced Ground-Penetrating Radar Signal-Processing Techniques,' vol. 132, pp. 306-318, March 2017.

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.

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.

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.

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.

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.

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.

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.

F. Viani, G. Oliveri, and A. Massa, “Compressive sensing pattern matching techniques for synthesizing planar sparse arrays,” IEEE Trans. Antennas Propag., vol. 61, no. 9, pp. 4577-4587, Sept. 2013.

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.

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.

P. Rocca, M. Benedetti, M. Donelli, D. Franceschini, and A. Massa, “Evolutionary optimization as applied to inverse problems,” Inverse Probl., vol. 25, pp. 1-41, Dec. 2009.

P. Rocca, G. Oliveri, and A. Massa, “Differential Evolution as applied to electromagnetics,” IEEE Antennas Propag. Mag., vol. 53, no. 1, pp. 38-49, Feb. 2011.
citation:   Anselmi, N. and Oliveri, G. and Hannan, M. and Salucci, M. and Massa, A.  (2015) Dictionary‐Based Bayesian Compressive Sensing for Imaging Arbitrary Scatterers.  Technical Report. ELEDIA Research Center - University of Trento.     
document_url: http://www.eledia.org/students-reports/745/7/Dictionary%E2%80%90Based_Bayesian_Compressive_Sensing_for_Imaging_Arbitrary_Scatterers.v2.pdf