Correction of Known Position Errors in a Spherical Near to Far-Field Transformation for Long Antennas
Renato Cicchetti1, Francesco D’Agostino2, Flaminio Ferrara2, Claudio Gennarelli2, *, Rocco Guerriero2, Massimo Migliozzi2
Identifiers and Pagination:Year: 2017
First Page: 141
Last Page: 153
Publisher Id: TOEEJ-11-141
Article History:Received Date: 07/02/2017
Revision Received Date: 07/04/2017
Acceptance Date: 15/05/2017
Electronic publication date: 31/07/2017
Collection year: 2017
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
This paper provides the experimental validation of an efficient iterative procedure to correct known position errors in a spherical near to far-field (NTFF) transformation for elongated antennas which uses a minimum number of NF measurements.
This transformation exploits a non-redundant sampling representation of the voltage detected by the probe obtained by shaping a long antenna with a prolate ellipsoid. The uniform samples, those at the points set by the representation, are accurately reconstructed from the acquired not regularly distributed (non-uniform) ones by using an iterative scheme, which requires a one to one relationship between each uniform sampling point and the corresponding non-uniform one. Then a 2-D optimal sampling formula is adopted to evaluate the input data needed to perform the traditional spherical NTFF transformation from the retrieved non-redundant uniform samples.
Finally, laboratory proofs have been reported to demonstrate the validity of the presented technique from a practical viewpoint.