eprintid: 793 rev_number: 12 eprint_status: archive userid: 2 dir: disk0/00/00/07/93 datestamp: 2019-03-12 10:40:58 lastmod: 2024-08-28 10:22:29 status_changed: 2019-03-12 10:40:58 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: Diagnosis of Planar Phased Arrays Through a Probabilistic 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: This work deals with the detection of faulty elements in planar phased antenna arrays starting from far‐field pattern measurements. Owing to the intrinsically sparse nature of the problem unknowns at hand, the diagnosis problem is formulated as a probabilistic Compressive Sensing (CS) one and it is effectively and efficiently solved through a customized Bayesian CS (BCS) solution approach. Some representative synthetic benchmarks are shown in order to verify the potentialities as well as the current limitations of the proposed BCS‐based diagnosis tool, as well as to assess its flexibility in dealing with arbitrary excitation taperings of the AUT. 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) Diagnosis of Planar Phased Arrays Through a Probabilistic Compressive Sensing Approach. Technical Report. ELEDIA Research Center - University of Trento. document_url: http://www.eledia.org/students-reports/793/1/Diagnosis_of_Planar_Phased_Arrays_Through_a_Probabilistic_Compressive_Sensing_Approach.v2.pdf