eprintid: 792
rev_number: 11
eprint_status: archive
userid: 2
dir: disk0/00/00/07/92
datestamp: 2019-03-04 09:12:37
lastmod: 2024-07-24 07:30:12
status_changed: 2019-03-04 09:12:37
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: Bayesian Compressive Sensing Failure Detection in Planar Phased Antenna Arrays
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: The  diagnosis  of  planar  phased  antenna  arrays  is dealt  with  in  this work.  The retrieval of the faulty radiators in the antenna under test (AUT) is formulated within the  compressive  sensing  (CS)  framework  and  it is  efficiently  and  effectively  solved through a customized Bayesian CS (BCS) solver. Robust and reliable reconstructions of  the  AUT  status  are  yielded  by means  of  the  proposed  diagnosis  tool  also  in presence  of  significant  amounts  of  noise  on processed far‐field  data.  Some numerical experiments are presented to assess the BCS‐based method when dealing with  different operative  conditions  as  well  as  considering  a variation  of  the  array size and failure rate.
date: 2019
publisher: ELEDIA Research Center - University of Trento
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[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.

[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," J. Opt. Soc. Am. A, vol. 30, no. 6, pp. 1261-1272, 2013.

[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.

[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.

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[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.

[22] L. Poli, P. Rocca, G. Oliveri, and A. Massa, "Failure correction in time-modulated linear arrays," IET Radar, Sonar & Navigation, vol. 8, no. 3, pp. 195-201, 2014.
citation:   SALUCCI, Marco and GELMINI, Angelo and OLIVERI, Giacomo and MASSA, Andrea  (2019) Bayesian Compressive Sensing Failure Detection in Planar Phased Antenna Arrays.  Technical Report. ELEDIA Research Center - University of Trento.     
document_url: http://www.eledia.org/students-reports/792/1/Bayesian_Compressive_Sensing_Failure_Detection_in_Planar_Phased_Antenna_Arrays.v2.pdf