eprintid: 703
rev_number: 9
eprint_status: archive
userid: 4
dir: disk0/00/00/07/03
datestamp: 2016-03-14 11:20:24
lastmod: 2018-02-26 13:32:06
status_changed: 2016-03-14 11:20:24
type: monograph
metadata_visibility: show
creators_name: Carlin, M.
creators_name: Rocca, P.
creators_name: Oliveri, G.
creators_name: Massa, A.
title: DoA estimation via MT-BCS exploiting multiple-snapshots

ispublished: pub
subjects: MCS
subjects: MLBE
full_text_status: public
monograph_type: technical_report
keywords: Compressive Sensing, Direction-of-Arrival, Support Vector Machine, Array Synthesis, Inverse Scattering.
abstract: In this report, an innovative strategy for the estimation of the directions of arrival of signals impinging on linear arrays of electromagnetic sensors has been assessed. Starting from a sparse representation of the problem solution, the DoA estimation problem has been addressed by means of a methodology based on the BCS paradigm. A customized implementation exploiting the measurements collected at multiple time instants (multiple-snapshots) providing robust and very accurate estimates when correlating the information from multiple snapshots has been validated.

date: 2016
publisher: University of Trento
referencetext: [1] M. Carlin, P. Rocca, G. Oliveri, F. Viani, and A. Massa, "Directions-of-arrival estimation through Bayesian Compressive Sensing strategies," IEEE Trans. Antennas Propag., vol. 61, no. 7, pp. 3828-3838, Jul. 2013. 
[2] 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", vol. 2013, pp. 1-12, 2013. 
[3] 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.
[4] L. Lizzi, F. Viani, M. Benedetti, P. Rocca, and A. Massa, "The M-DSO-ESPRIT method for maximum likelihood DoA estimation," Progress in Electromagnetic Research, vol. 80, pp. 477-497, 2008. 
[5] M. Donelli, F. Viani, P. Rocca, and A. Massa, "An innovative multi-resolution approach for DoA estimation based on a support vector classification," IEEE Trans. Antennas Propag., vol. 57, no. 8, pp. 2279-2292, Aug. 2009. 
[6] L. Lizzi, G. Oliveri, P. Rocca, and A. Massa, "Estimation of the direction-of-arrival of correlated signals by means of a SVM-based multi-resolution approach," IEEE Antennas Propag. Society International Symposium (APSURSI), Toronto, ON, Canada, pp. 1-4, 11-17 Jul. 2010.
[7] A. Massa, P. Rocca, and G. Oliveri, "Compressive sensing in electromagnetics - A review," IEEE Antennas and Propagation Magazine, pp. 224-238, vol. 57, no. 1, Feb. 2015.
[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., vol. 61, no. 9, pp. 4577-4587, Sept. 2013. 
[12] 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. 
[13] 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.
[14] 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. 
[15] 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. 
[16] 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. 
[17] 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. 
[18] 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. 
[19] 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. 
[20] 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. 
[21] 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. 
[22] 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. 
citation:   Carlin, M. and Rocca, P. and Oliveri, G. and Massa, A.  (2016) DoA estimation via MT-BCS exploiting multiple-snapshots.  Technical Report. University of Trento.     
document_url: http://www.eledia.org/students-reports/703/1/DoA%20estimation%20via%20MT-BCS%20exploiting%20multiple-snapshots.pdf