An efficient probe compensated near-field-far-field transformation technique from irregularly spaced bipolar samples is developed in this paper. The singular value decomposition method is applied to recover the uniformly distributed data, whose position is fixed by a nonredundant sampling representation of the electromagnetic field. Then an optimal sampling interpolation algorithm is used for reconstructing the plane-rectangular samples required to carry out the standard near-field-far-field transformation. This last step is required to benefit by the use of FFT algorithm. Numerical examples are reported to assess the effectiveness of the proposed technique.
NF–FF transformation with bi-polar scanning from nonuniformly spaced data
FERRARA, Flaminio;GENNARELLI, Claudio;IACONE, Marcello;RICCIO, Giovanni;
2005
Abstract
An efficient probe compensated near-field-far-field transformation technique from irregularly spaced bipolar samples is developed in this paper. The singular value decomposition method is applied to recover the uniformly distributed data, whose position is fixed by a nonredundant sampling representation of the electromagnetic field. Then an optimal sampling interpolation algorithm is used for reconstructing the plane-rectangular samples required to carry out the standard near-field-far-field transformation. This last step is required to benefit by the use of FFT algorithm. Numerical examples are reported to assess the effectiveness of the proposed technique.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
