An efficient technique, which allows the correction of known positioning errors in a near-field to far-field (NF-FF) transformation with planar wide-mesh scanning (PWMS), is here developed and experimentally assessed. The corresponding NF-FF transformation from correctly positioned samples allows a remarkable reduction of the acquisition time with respect to the classical plane-rectangular one, since the NF data needed by this last are accurately recovered from a reduced number of PWMS samples through a 2-D optimal sampling interpolation expansion, attained by modeling the antenna under test with a double bowl and applying the nonredundant sampling representations to the voltage detected by the scanning probe. When the PWMS samples are affected by known probe positioning error, the voltage values at the sampling points, set by the representation, are unknown and can be efficiently retrieved from the inaccurately positioned ones by means of a singular value decomposition based technique.

An Efficient Approach to Recover the Nonredundant Plane-Rectangular NF Data from the Inaccurately Probe Positioned Ones

D'Agostino, Francesco;Ferrara, Flaminio;Gennarelli, Claudio;Guerriero, Rocco;Migliozzi, Massimo
2018-01-01

Abstract

An efficient technique, which allows the correction of known positioning errors in a near-field to far-field (NF-FF) transformation with planar wide-mesh scanning (PWMS), is here developed and experimentally assessed. The corresponding NF-FF transformation from correctly positioned samples allows a remarkable reduction of the acquisition time with respect to the classical plane-rectangular one, since the NF data needed by this last are accurately recovered from a reduced number of PWMS samples through a 2-D optimal sampling interpolation expansion, attained by modeling the antenna under test with a double bowl and applying the nonredundant sampling representations to the voltage detected by the scanning probe. When the PWMS samples are affected by known probe positioning error, the voltage values at the sampling points, set by the representation, are unknown and can be efficiently retrieved from the inaccurately positioned ones by means of a singular value decomposition based technique.
2018
9781728112909
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4721275
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact