eprintid: 2
rev_number: 15
eprint_status: archive
userid: 3
dir: disk0/00/00/00/02
datestamp: 2013-06-12 11:19:07
lastmod: 2018-02-26 11:43:52
status_changed: 2013-06-12 11:19:07
type: thesis
metadata_visibility: show
creators_name: Tamanini, E.
title: Solving Phaseless Inverse Scattering Problems through Conjugate Gradient Method
ispublished: pub
subjects: TK
full_text_status: public
keywords: Inverse Scattering, IDBI
abstract: La precisione ed affidabilità richieste nella misura del campo nell’ambito della diagnostica elettromagnetica biomedicale ed industriale portano ad apparati HW lenti, sofisticati e quindi costosi. Una possibile soluzione è l’utilizzo di misure in sola ampiezza tramite delle sonde che permetterebbero misure in parallelo senza problemi di accoppiamento ed interferenza. Le misure in sola ampiezza tuttavia comportano una dispendiosa rielaborazione dei dati per ottenere una stima della fase. 
Attualmente abbiamo sviluppato una tecnica che attraverso la conoscenza delle sole misure in ampiezza ci permette di ricostruire l’oggetto sotto indagine minimizzando un funzionale appropriato. Tale funzione di costo non è tuttavia derivabile e quindi si è utilizzato un algoritmo di minimizzazione stocastico. Obiettivo del presente progetto è quello di ri‐formulare un funzionale di cui sia possibile calcolare le derivate ed applicare la tecnica dei gradienti coniugati per minimizzarlo.
date: 2004
date_type: completed
institution: University of Trento
department: ELEDIA Research Center @ DISI
thesis_type: masters
referencetext: [1] S. C. Hagness, E. C. Fear, and A. Massa, "Guest Editorial: Special Cluster on Microwave Medical Imaging", IEEE Antennas Wireless Propag. Lett., vol. 11, pp. 1592‐1597, 2012.
[2] G. Oliveri, Y. Zhong, X. Chen, and A. Massa, "Multi‐resolution subspace‐based optimization method for inverse scattering," Journal of Optical Society of America A, vol. 28, no. 10, pp. 2057‐2069, Oct. 2011.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] M. Donelli, D. Franceschini, P. Rocca, and A. Massa, "Three‐dimensional microwave imaging problems solved through an efficient multi‐scaling particle swarm optimization," IEEE Trans. Geosci. Remote Sensing, vol. 47, no. 5, pp. 1467‐1481, May 2009.
[9] M. Benedetti, G. Franceschini, R. Azaro, and A. Massa, "A numerical assessment of the reconstruction effectiveness of the integrated GA‐based multicrack strategy," IEEE Antennas Wireless Propag. Lett., vol. 6, pp. 271‐274, 2007.Bbb
[10] P. Rocca, M. Carlin, G. Oliveri, and A. Massa, "Interval analysis as applied to inverse scattering," IEEE International Symposium on Antennas Propag. (APS/URSI 2013), Chicago, Illinois, USA, Jul. 8‐14, 2012.
[11] L. Manica, P. Rocca, M. Salucci, M. Carlin, and A. Massa, "Scattering data inversion through interval analysis under Rytov approximation," 7th European Conference on Antennas Propag. (EuCAP 2013), Gothenburg, Sweden, Apr. 8‐12, 2013.
[12] P. Rocca, M. Carlin, and A. Massa, "Imaging weak scatterers by means of an innovative inverse scattering technique based on the interval analysis," 6th European Conference on Antennas Propag. (EuCAP 2012), Prague, Czech Republic, Mar. 26‐30, 2012.
[13] 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.
[14] 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.
[15] 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 Sensing, vol. 51, no. 5, pp. 2920‐2936, May. 2013.
[16] 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.
[17] G. Oliveri, P. Rocca, and A. Massa, "A bayesian compressive sampling‐based inversion for imaging sparse scatterers," IEEE Trans. Geosci. Remote Sensing, vol. 49, no. 10, pp. 3993‐4006, Oct. 2011.
[18] 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.
[19] L. Poli, G. Oliveri, F. Viani, and A. Massa, “MT‐BCS‐based microwave imaging approach through minimum‐norm current expansion,” IEEE Trans. Antennas Propag., in press. doi: 10.1109/TAP.2013.2265254.
citation:   Tamanini, E.  (2004) Solving Phaseless Inverse Scattering Problems through Conjugate Gradient Method.  Masters thesis, University of Trento.   
document_url: http://www.eledia.org/students-reports/2/7/Abstract.A004.pdf