eprintid: 744
rev_number: 15
eprint_status: archive
userid: 7
dir: disk0/00/00/07/44
datestamp: 2017-08-14 12:40:26
lastmod: 2024-05-23 17:43:14
status_changed: 2017-08-14 12:40:26
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: An Innovative BCS‐Based Microwave Imaging Technique for Imaging Unknown Objects With Arbitrary Size and Shape
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 presents a numerical validation of an innovative two-dimensional (2D) microwave inverse scattering technique exploiting Bayesian Compressive Sensing (BCS) and a dictionary of wavelet-based expansion bases. The goal of the dictionary-based BCS is to provide faithful guesses of the dielectric distribution inside the imaged scenario even if the unknown objects inside it are not sparse in the standard pixel basis. The developed strategy is based on a two-level hierarchical application of the BCS algorithm. In the first step, several sparsity-regularized inversions are performed using the dictionary of candidate bases. In the second step, the retrieved vectors are compared and the sparsest reconstruction is selected. Some numerical results are shown, in order to verify the effectiveness of the developed microwave imaging technique. Moreover, some illustrative results are shown to compare its performance with respect to competitive state-of-the-art alternatives.
date: 2017
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.  (2017) An Innovative BCS‐Based Microwave Imaging Technique for Imaging Unknown Objects With Arbitrary Size and Shape.  Technical Report. ELEDIA Research Center - University of Trento.     
document_url: http://www.eledia.org/students-reports/744/1/An_Innovative_BCS%E2%80%90Based_Microwave_Imaging_Technique_for_Imaging_Unknown_Objects_With_Arbitrary_Size_and_Shape.v2.pdf