eprintid: 879
rev_number: 8
eprint_status: archive
userid: 13
dir: disk0/00/00/08/79
datestamp: 2024-04-05 11:38:04
lastmod: 2024-04-05 11:38:04
status_changed: 2024-04-05 11:38:04
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: Compressive Sensing Techniques for Enhanced Near Field Antenna Evaluation
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: A new method based on Bayesian Compressive Sensing (BCS) is presented to enhance near-field (NF) antenna characterization. The method exploits the probablistic sparsity and incorporates prior knowledge of the antenna under test (AUT) to construct an overcomplete representation basis. The performance of the proposed method is analysed as a comparative fashion with Orthogonal Matching Persuit (OMP).
date: 2024-04-05
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) Compressive Sensing Techniques for Enhanced Near Field Antenna Evaluation.  Technical Report. ELEDIA Research Center - University of Trento.     
document_url: http://www.eledia.org/students-reports/879/1/Compressive_Sensing_Techniques_for_Enhanced_Near_Field_Antenna_Evaluation.pdf