eprintid: 882
rev_number: 8
eprint_status: archive
userid: 13
dir: disk0/00/00/08/82
datestamp: 2024-04-26 17:14:17
lastmod: 2024-04-26 17:14:17
status_changed: 2024-04-26 17:14:17
type: monograph
metadata_visibility: show
creators_name: SALUCCI, Marco
creators_name: ANSELMI, Nicola
creators_name: MASSA, Andrea
creators_id: marco.salucci@unitn.it
creators_id: nicola.anselmi.1@unitn.it
creators_id: andrea.massa@unitn.it
title: A CS-Enhanced Approach for Near-Field Antenna Characterization Subject to Truncation Error
ispublished: pub
subjects: AWC
subjects: MCS
full_text_status: public
monograph_type: technical_report
keywords: Antenna measurements, antenna qualification, compressive sensing, near-field pattern estimation, near-field to far-field transformation, sparsity retrieval, truncation error.
abstract: An enhanced approach based on Compressive Sensing (CS) is presented to near-field (NF) antenna characterization. The measurements-by-design (MebD) mathematically reformulates the NF prediction problem within a Bayesian framework. Different numerical results are provided to demonstrate the potentialities of the proposed approach subject to truncation error.
date: 2024
publisher: ELEDIA Research Center - University of Trento
referencetext: [1] M. Salucci, N. Anselmi, M. D. Migliore and A. Massa, "A bayesian compressive sensing approach to robust near-field antenna characterization," IEEE Trans. Antennas Propag., vol. 70, no. 9, pp. 8671-8676, Sep. 2022 (DOI: 10.1109/TAP.2022.3177528).

[2] B. Li, M. Salucci, W. Tang, and P. Rocca, “Reliable field strength prediction through an adaptive total-variation CS technique,” IEEE Antennas Wireless Propag. Lett., vol. 19, no. 9, pp. 1566-1570, Sep. 2020.

[3] M. Salucci, M. D. Migliore, P. Rocca, A. Polo, and A. Massa, "Reliable antenna measurements in a near-field cylindrical setup with a sparsity promoting approach,"  IEEE Trans. Antennas Propag., vol. 68, no. 5, pp. 4143-4148, May 2020.

[4] 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. - Special Issue on "Electromagnetic Inverse Problems for Sensing and Imaging," vol. 59, no. 5, pp. 34-46, Oct. 2017.

[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.

[6] A. Massa and F. Texeira, Guest-Editorial: Special Cluster on Compressive Sensing as Applied to Electromagnetics, IEEE Antennas Wirel. Propag. Lett., vol. 14, pp. 1022-1026, 2015.

[7] G. Oliveri, N. Anselmi, M. Salucci, L. Poli, and A. Massa, “Compressive sampling-based scattering data acquisition in microwave imaging,” J. Electromagn. Waves Appl., vol. 37, no. 5, 693–729, March 2023 (DOI: 10.1080/09205071.2023.2188263).

[8] G. Oliveri, L. Poli, N. Anselmi, M. Salucci, and A. Massa, "Compressive sensing-based Born iterative method for tomographic imaging," IEEE Tran. Microw. Theory Techn., vol. 67, no. 5, pp. 1753-1765, May 2019.

[9] M. Salucci, L. Poli, and G. Oliveri, "Full-vectorial 3D microwave imaging of sparse scatterers through a multi-task Bayesian compressive sensing approach," J. Imag., vol. 5, no. 1, pp. 1-24, Jan. 2019.

[10] M. Salucci, A. Gelmini, L. Poli, G. Oliveri, and A. Massa, "Progressive compressive sensing for exploiting frequency-diversity in GPR imaging," J. Electromagn. Waves Appl., vol. 32, no. 9, pp. 1164-1193, 2018.

[11] 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.

[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.

[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.

[14] G. Oliveri, P.-P. Ding, and L. Poli "3D crack detection in anisotropic layered media through a sparseness-regularized solver," IEEE Antennas Wirel. Propag. Lett., vol. 14, pp. 1031-1034, 2015.

[15] L. Poli, G. Oliveri, P.-P. Ding, T. Moriyama, and A. Massa, "Multifrequency Bayesian compressive sensing methods for microwave imaging," J. Opt. Soc. Am. A, vol. 31, no. 11, pp. 2415-2428, 2014.

[16] 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.

[17] 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.

[18] 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. 

[19] 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.

[20] P. Rocca, N. Anselmi, M. A. Hannan, and A. Massa, “Conical frustum multi-beam phased arrays for air traffic control radars,” Sensors, vol. 22, no. 19, 7309, pp. 1-18, 2022 (DOI: 10.3390/s22197309)

[21] F. Zardi, G. Oliveri, M. Salucci, and A. Massa, "Minimum-complexity failure correction in linear arrays via compressive processing," IEEE Trans. Antennas Propag., vol. 69, no. 8, pp. 4504-4516, Aug. 2021.

[22] N. Anselmi, G. Gottardi, G. Oliveri, and A. Massa, "A total-variation sparseness-promoting method for the synthesis of contiguously clustered linear architectures" IEEE Trans. Antennas Propag., vol. 67, no. 7, pp. 4589-4601, Jul. 2019.

[23] M. Salucci, A. Gelmini, G. Oliveri, and A. Massa, "Planar arrays diagnosis by means of an advanced Bayesian compressive processing," IEEE Tran. Antennas Propag., vol. 66, no. 11, pp. 5892-5906, Nov. 2018.

[24] 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.

[25] 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.

[26] 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.

[27] 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. 

[28] 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.

[29] P. Rocca, M. A. Hannan, M. Salucci, and A. Massa, "Single-snapshot DoA estimation in array antennas with mutual coupling through a multi-scaling BCS strategy," IEEE Tran. on Antennas and Propag., vol. 65, no. 6, pp. 3203-3213, Jun. 2017.

[30]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.

[31] M. Carlin, P. Rocca, G. Oliveri, and A. Massa, "Bayesian compressive sensing as applied to directions-of-arrival estimation in planar arrays," J. Electromagn. Waves Appl., vol.2013, pp.1-12, 2013 (DOI :10.1155/2013/245867).
citation:   SALUCCI, Marco and ANSELMI, Nicola and MASSA, Andrea  (2024) A CS-Enhanced Approach for Near-Field Antenna Characterization Subject to Truncation Error.  Technical Report. ELEDIA Research Center - University of Trento.     
document_url: http://www.eledia.org/students-reports/882/1/A_CS-Enhanced_Approach_for_Near-Field_Antenna_Characterization_Subject_to_Truncation_Error.pdf