eprintid: 480 rev_number: 17 eprint_status: archive userid: 5 dir: disk0/00/00/04/80 datestamp: 2013-06-17 11:56:25 lastmod: 2013-07-01 11:09:07 status_changed: 2013-07-01 11:09:07 type: techreport metadata_visibility: show item_issues_count: 0 creators_name: Oliveri, Giacomo creators_name: Rocca, Paolo creators_name: Massa, Andrea creators_id: giacomo.oliveri@disi.unitn.it creators_id: paolo.rocca@disi.unitn.it creators_id: andrea.massa@ing.unitn title: Failure Detection in Linear Arrays through Compressive Sensing ispublished: unpub subjects: TU full_text_status: public abstract: An array diagnosis method based on Bayesian Compressive Sensing is validated in the case for linear layouts. A set of numerical representative examples are presented with the aim of providing some insights on the method features and potentialities. date: 2013-06-17 publisher: Università degli Studi di Trento. Dipartimento di Informatica e Scienza dell'Informazione place_of_pub: Trento pages: 90 institution: University of Trento refereed: FALSE referencetext: [1] 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. [2] 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. [3] 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. [4] 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. [5] 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. [6] 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. [7] 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 [8] 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. [9] G. Oliveri, M. Carlin, and A. Massa, "Complex-weight sparse linear array synthesis by Bayesian Compressive Sampling," IEEE Trans. Antennas Propag., vol. 60, no. 5, pp. 2309-2326, May 2012. [10] 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. [11] F. Viani, G. Oliveri, and A. Massa, “Compressive sensing pattern matching techniques for synthesizing planar sparse arrays” IEEE Trans. Antennas Propag., in press. doi:10.1109/TAP.2013.2267195 [12] M. Carlin, P. Rocca, G. Oliveri, F. Viani, and A. Massa, "Directions-of-Arrival Estimation through Bayesian Compressive Sensing strategies," IEEE Trans. Antennas Propag., in press. [13] M. Carlin, P. Rocca, "A Bayesian compressive sensing strategy for direction-of-arrival estimation," 6th European Conference on Antennas Propag. (EuCAP 2012), Prague, Czech Republic, pp. 1508-1509, 26-30 Mar. 2012. [14] M. Carlin, P. Rocca, G. Oliveri, and A. Massa, “Bayesian compressive sensing as applied to directions-of-arrival estimation in planar arrays”, Journal of Electrical and Computer Engineering, Special Issue on “Advances in Radar Technologies”, in press. citation: Oliveri, Giacomo and Rocca, Paolo and Massa, Andrea (2013) Failure Detection in Linear Arrays through Compressive Sensing. [Technical Report] (Unpublished) document_url: http://www.eledia.org/students-reports/480/1/DISI-13-012.pdf