The increasing interest for high frequencies solicits the use of phaseless near-field-far-field (NF-FF) transformations for antenna characterization. The aim of this paper is to present a numerical validation of a phaseless NF-FF transformation with plane-polar scanning.A reduction of about 75% of the required NF samples as compared to standard λ/4 sampling is obtained by adopting an oblate spheroid to model the antenna under test (AUT) and by exploiting the non-redundant sampling representations of electromagnetic fields. An effective and proper representation of the unknowns, also taking advantage of the available information on the AUT, allows one to improve reliability and stability of the inversion process.Numerical results are presented.
Numerical simulation of a phaseless, non-redundant plane-polar antenna characterization / Bevilacqua, Florindo; Capozzoli, Amedeo; Curcio, Claudio; D'Agostino, Francesco; Ferrara, Flaminio; Gennarelli, Claudio; Guerriero, Rocco; Liseno, Angelo; Migliozzi, Massimo; Vardaxoglou, Yannis. - (2021), pp. 226-229. (Intervento presentato al convegno IEEE International Conference on Microwaves, Antennas, Communications and Electronics Systems tenutosi a Tel Aviv, Israel nel Nov. 1-3, 2021) [10.1109/COMCAS52219.2021.9629075].
Numerical simulation of a phaseless, non-redundant plane-polar antenna characterization
Florindo Bevilacqua;Amedeo Capozzoli;Claudio Curcio;Claudio Gennarelli;Angelo Liseno;
2021
Abstract
The increasing interest for high frequencies solicits the use of phaseless near-field-far-field (NF-FF) transformations for antenna characterization. The aim of this paper is to present a numerical validation of a phaseless NF-FF transformation with plane-polar scanning.A reduction of about 75% of the required NF samples as compared to standard λ/4 sampling is obtained by adopting an oblate spheroid to model the antenna under test (AUT) and by exploiting the non-redundant sampling representations of electromagnetic fields. An effective and proper representation of the unknowns, also taking advantage of the available information on the AUT, allows one to improve reliability and stability of the inversion process.Numerical results are presented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
