eprintid: 791
rev_number: 12
eprint_status: archive
userid: 2
dir: disk0/00/00/07/91
datestamp: 2019-02-25 11:47:39
lastmod: 2024-08-22 13:13:07
status_changed: 2019-02-25 11:47:39
type: monograph
metadata_visibility: show
creators_name: SALUCCI, Marco
creators_name: GELMINI, Angelo
creators_name: OLIVERI, Giacomo
creators_name: MASSA, Andrea
creators_id: marco.salucci@unitn.it
creators_id: angelo.gelmini@unitn.it
creators_id: giacomo.oliveri@unitn.it
creators_id: andrea.massa@unitn.it
title: Detecting Failures in Planar Phased Arrays: a Bayesian Compressive Sensing Approach
ispublished: pub
subjects: AWC
subjects: MCS
full_text_status: public
monograph_type: technical_report
keywords: Antenna arrays, array failure, Bayesian compressive sensing (BCS), compressive sensing, fault diagnosis, planar arrays
abstract: In this work, the detection of failures in planar phased antenna arrays is dealt with. Towards this goal, the inverse problem at hand is formulated within a probabilistic framework and it is efficiently solved through a Bayesian compressive sensing (BCS) method. More in detail, starting from the knowledge of the failure‐free (i.e., "gold") pattern and of that radiated by the antenna under test (AUT), the reconstruction of the  faulty radiators  is  seen  as  a  sparse  retrieval  problem whose  solution  does  not require  the  compliance  of  the  restricted  isometry  property  (RIP)  by  the measurement operator. Some preliminary numerical results are shown to assess the effectiveness of the proposed array diagnosis tool.
date: 2019
publisher: ELEDIA Research Center - University of Trento
referencetext: [1] P. Rocca, G. Oliveri, R. J. Mailloux, and A. Massa, "Unconventional phased array architectures and design methodologies - A Review," Proc. IEEE, vol. 104, no. 3, pp. 544-560, Mar. 2016 (DOI: 10.1109/JPROC.2015.2512389).
 
[2] G. Oliveri, G. Gottardi, F. Robol, A. Polo, L. Poli, M. Salucci, M. Chuan, C. Massagrande, P. Vinetti, M. Mattivi, R. Lombardi, and A. Massa, "Co-design of unconventional array architectures and antenna elements for 5G base stations," IEEE Trans. Antennas Propag., vol. 65, no. 12, pp. 6752-6767, Dec. 2017 (DOI: 10.1109/TAP.2017.2738065). 

[3] 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 (DOI: 10.1109/TAP.2012.2207344). 

[4] M. Salucci, A. Gelmini, G. Oliveri, and A. Massa, "Planar arrays diagnosis by means of an advanced Bayesian compressive processing," IEEE Trans. Antennas Propag., vol. 66, no. 11, pp. 5892-5906, Nov. 2018 (DOI: 10.1109/TAP.2018.2866534). 

[5] 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 (DOI: 10.1109/MAP.2015.2397092). 

[6] G. Oliveri, M. Salucci, N. Anselmi, and A. Massa, "Compressive sensing as applied to inverse problems for imaging: theory, applications, current trends, and open challenges," IEEE Antennas Propag. Mag., vol. 59, no. 5, pp. 34-46, Oct. 2017 (DOI: 10.1109/MAP.2017.2731204). 

[7] P. Rocca, M. A. Hannan, M. Salucci, and A. Massa, "Single-snapshot DoA estimation in array antennas with mutual coupling through a multi-scaling Bayesian compressive sensing strategy," IEEE Trans. Antennas Propag., vol. 65, no. 6, pp. 3203-3213, Jun. 2017 (DOI: 10.1109/TAP.2017.2684137). 

[8] 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 (DOI: 10.1109/TAP.2013.2256093). 

[9] L. Poli, G. Oliveri, P. Rocca, M. Salucci, and A. Massa, "Long-distance WPT unconventional arrays synthesis," J. Electromagn. Waves Appl., vol. 31, no. 14, pp. 1399-1420, Jul. 2017 (DOI: 10.1080/09205071.2017.1348998). 

[10] 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 (DOI: DOI: 10.1109/TAP.2016.2595623). 

[11] 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 (DOI: 10.1109/TAP.2010.2096400). 

[12] 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 (DOI: 10.1109/TMTT.2016.2645570). 

[13] 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 (DOI: 10.1109/TAP.2015.2444423). 

[14] 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 (DOI: 10.1109/TAP.2013.2265254). 

[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 (DOI: 10.1109/TAP.2014.2344673). 

[16] 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 (DOI: 10.1364/JOSAA.30.001261). 

[17] 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 (DOI: 10.1109/TGRS.2012.2218613). 

[18] 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 (DOI: 10.1109/TAP.2012.2194676). 

[19] G. Oliveri, L. Poli, P. Rocca, and A. Massa, "Bayesian compressive optical imaging within the Rytov approximation," Opt. Lett., vol. 37, no. 10, pp. 1760-1762, 2012 (10.1364/OL.37.001760). 

[20] 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 (DOI: 10.1109/TGRS.2011.2128329). 

[21] N. Anselmi, L. Poli, G. Oliveri, and A. Massa, "Iterative multi-resolution bayesian CS for microwave imaging," IEEE Trans. Antennas Propag., vol. 66, no. 7, pp. 3665-3677, Jul. 2018 (DOI: 10.1109/TAP.2018.2826574). 

[22] L. Poli, P. Rocca, G. Oliveri, and A. Massa, "Failure correction in time-modulated linear arrays," IET Radar Sonar Navig., vol. 8, no. 3, pp. 195-201, 2014 (DOI: 10.1049/iet-rsn.2013.0027).
citation:   SALUCCI, Marco and GELMINI, Angelo and OLIVERI, Giacomo and MASSA, Andrea  (2019) Detecting Failures in Planar Phased Arrays: a Bayesian Compressive Sensing Approach.  Technical Report. ELEDIA Research Center - University of Trento.     
document_url: http://www.eledia.org/students-reports/791/1/Detecting_Failures_in_Planar_Phased_Arrays_a_Bayesian_Compressive_Sensing_Approach.v2.pdf