This work aims to develop and numerically validate an algorithm to compensate known 3-D probe positioning errors affecting the near-to-far-field transformation (NTFFT) with planar wide-mesh scanning (PWMS). As first step, the so named k-correction is used to correct the positioning errors relevant to the deviation from the acquisition plane. Then, by exploiting an iterative approach, the NF data at the points prescribed by the sampling representation are retrieved from those calculated at the first step and corrupted by 2-D positioning errors. Finally, once the uniformly distributed PWMS data have been restored, those needed to carry out the classical plane-rectangular NTFFT are efficiently obtained by the means of a 2-D optimal sampling interpolation algorithm, developed by modeling the antenna as enclosed in an oblate spheroid. Numerical results are reported to assess the effectiveness of the proposed technique.

A Near to Far-Field Transformation with Planar Wide-Mesh Scan from Near-Field Measurements Affected by 3-D Probe Positioning Errors

Bevilacqua F.;D'Agostino F.;Ferrara F.;Gennarelli C.;Guerriero R.;Migliozzi M.
2022-01-01

Abstract

This work aims to develop and numerically validate an algorithm to compensate known 3-D probe positioning errors affecting the near-to-far-field transformation (NTFFT) with planar wide-mesh scanning (PWMS). As first step, the so named k-correction is used to correct the positioning errors relevant to the deviation from the acquisition plane. Then, by exploiting an iterative approach, the NF data at the points prescribed by the sampling representation are retrieved from those calculated at the first step and corrupted by 2-D positioning errors. Finally, once the uniformly distributed PWMS data have been restored, those needed to carry out the classical plane-rectangular NTFFT are efficiently obtained by the means of a 2-D optimal sampling interpolation algorithm, developed by modeling the antenna as enclosed in an oblate spheroid. Numerical results are reported to assess the effectiveness of the proposed technique.
2022
978-1-7362351-4-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4813002
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