eprintid: 666
rev_number: 8
eprint_status: archive
userid: 4
dir: disk0/00/00/06/66
datestamp: 2015-04-13 08:31:39
lastmod: 2018-02-26 13:38:24
status_changed: 2015-04-13 08:31:39
type: monograph
metadata_visibility: show
creators_name: Poli, L.
creators_name: Oliveri, G.
creators_name: Massa, A.
title: BCS-based inversion methods within a multi-frequency framework
ispublished: pub
subjects: MCS
full_text_status: public
monograph_type: technical_report
keywords: Compressive Sensing, Inverse Scattering, Array Synthesis
abstract: In this report, the multi-frequency Multi-Task Bayesian Compressive Sensing (MT-BCS) technique is compared with the Single-Task Bayesian Compressive Sensing one (ST-BCS). The comparison shows how the first method, which concurrently handle the multi-frequency data taking into account the relationship between the correlated inverse problems associated to different illumination frequencies, provides better results. Moreover, single-frequency and multi-frequency approaches have been investigated.
date: 2015
publisher: University of Trento
referencetext: [1] 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.
[2] L. Poli, G. Oliveri, P.-P. Ding, T. Moriyama, and A. Massa, "Multifrequency Bayesian compressive sensing methods for microwave imaging," Journal of the Optical Society of the America A, vol. 31, no. 11, pp. 2415-2428, 2014.
[3] 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.
[4] 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.
[5] 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.
[6] L. Poli, G. Oliveri, P. Rocca, and A. Massa, "Bayesian compressive sensing approaches for the recon- struction of two-dimensional sparse scatterers under TE illumination," IEEE Trans. Geosci. Remote Sensing, vol. 51, no. 5, pp. 2920-2936, May 2013.
[7] 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.
[8] 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.
[9] 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.
[10] 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., in press.
[11] M. Salucci, G. Oliveri, A. Randazzo, M. Pastorino, and A. Massa, "Electromagnetic subsurface pro- specting by a multifocusing inexact Newton method within the second-order Born approximation," J. Opt. Soc. Am. A., vol. 31, no. 6, pp. 1167-1179, Jun. 2014.
[12] G. Oliveri, L. Lizzi, M. Pastorino, and A. Massa, "A nested multi-scaling inexact-Newton iterative approach for microwave imaging," IEEE Trans. Antennas Propag., vol. 60, no. 2, pp. 971-983, Feb. 2012.
[13] G. Oliveri, A. Randazzo, M. Pastorino, and A. Massa, "Electromagnetic imaging within the contrast- source formulation by means of the multiscaling inexact Newton method," Journal of Optical Society of America A, vol. 29, no. 6, pp. 945-958, 2012.
[14] 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.
[15] 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.
[16] T. Moriyama, G. Oliveri, M. Salucci, and T. Takenaka, "A multi-scaling forward-backward time-stepping method for microwave imaging," IEICE Electronics Express, vol. 11, no. 16, pp. 1-12, Aug. 2014.
[17] G. Oliveri and A. Massa, "Bayesian compressive sampling for pattern synthesis with maximally sparse non-uniform linear arrays," IEEE Trans. Antennas Propag., vol. 59, no. 2, pp. 467-481, Feb. 2011.
[18] G. Oliveri, M. Carlin, and A. Massa, "Complex-weight sparse linear array synthesis by Bayesian Com- pressive Sampling," IEEE Trans. Antennas Propag., vol. 60, no. 5, pp. 2309-2326, May 2012.
[19] G. Oliveri, P. Rocca, and A. Massa, "Reliable Diagnosis of Large Linear Arrays - A Bayesian Compressive Sensing Approach," IEEE Trans. Antennas Propag., vol. 60, no. 10, pp. 4627-4636, Oct. 2012.
[20] 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.
[21] G. Oliveri, E. T. Bekele, F. Robol, and A. Massa, "Sparsening conformal arrays through a versatile BCS-based method," IEEE Trans. Antennas Propag., vol. 62, no. 4, pp. 1681-1689, Apr. 2014.
[22] M. Carlin, G. Oliveri, and A. Massa, "Hybrid BCS-deterministic approach for sparse concentric ring isophoric arrays," IEEE Trans. Antennas Propag., vol. 63, no. 1, pp. 378-383, Jan. 2015.
citation:   Poli, L. and Oliveri, G. and Massa, A.  (2015) BCS-based inversion methods within a multi-frequency framework.  Technical Report. University of Trento.     
document_url: http://www.eledia.org/students-reports/666/1/BCS-based%20inversion%20methods%20within%20a%20multi-frequency%20framework.pdf