Two effective techniques to compensate known positioning errors in a near-field – far-field (NF–FF) transformation with plane-polar scanning for quasi-planar antennas, requiring a minimum number of NF data, are proposed and experimentally assessed. They are based on a nonredundant sampling representation of the voltage acquired by the scanning probe, obtained by considering the antenna as enclosed in a surface formed by two circular bowls with the same aperture, but eventually different lateral bends. A two-steps procedure is adopted by both the techniques. In the former step, the plane-polar NF data at the points fixed by the sampling representation are retrieved from the positioning errors affected ones, by applying the singular value decomposition method or an iterative scheme. In the latter, the NF data required by the standard plane-rectangular NF–FF transformation are efficiently evaluated via a two-dimensional optimal sampling interpolation algorithm from the so retrieved, regularly spaced, plane-polar samples.
Far-field reconstruction from plane polar near-field data affected by probe position errors
D'AGOSTINO, Francesco;FERRARA, Flaminio;GENNARELLI, Claudio;GUERRIERO, ROCCO;MIGLIOZZI, MASSIMO
2015-01-01
Abstract
Two effective techniques to compensate known positioning errors in a near-field – far-field (NF–FF) transformation with plane-polar scanning for quasi-planar antennas, requiring a minimum number of NF data, are proposed and experimentally assessed. They are based on a nonredundant sampling representation of the voltage acquired by the scanning probe, obtained by considering the antenna as enclosed in a surface formed by two circular bowls with the same aperture, but eventually different lateral bends. A two-steps procedure is adopted by both the techniques. In the former step, the plane-polar NF data at the points fixed by the sampling representation are retrieved from the positioning errors affected ones, by applying the singular value decomposition method or an iterative scheme. In the latter, the NF data required by the standard plane-rectangular NF–FF transformation are efficiently evaluated via a two-dimensional optimal sampling interpolation algorithm from the so retrieved, regularly spaced, plane-polar samples.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.