In this paper, with reference to the framework of phaseless near-field antenna measurements, a new sampling scheme is introduced and assessed. More in detail, the article aims at finding an efficient sampling of the square amplitude of the near-field that, without a loss of information, allows reducing the number of sampling points with respect to the classical sampling strategy. The study refers to a 2D scalar geometry where the square amplitude of the near-field radiated by a strip source is observed on multiple scanning lines parallel to the source. From this analysis, it follows that the sampling points are non-uniformly arranged along the observation lines. In particular, on each scanning line, they are densest at the center and largest at the edges. Moreover, the sampling points collected on an observation line closest to the source are less spaced than those on an observation line farthest.

An efficient sampling scheme in phaseless near-field techniques

raffaele moretta;giovanni leone;rocco pierri
2021

Abstract

In this paper, with reference to the framework of phaseless near-field antenna measurements, a new sampling scheme is introduced and assessed. More in detail, the article aims at finding an efficient sampling of the square amplitude of the near-field that, without a loss of information, allows reducing the number of sampling points with respect to the classical sampling strategy. The study refers to a 2D scalar geometry where the square amplitude of the near-field radiated by a strip source is observed on multiple scanning lines parallel to the source. From this analysis, it follows that the sampling points are non-uniformly arranged along the observation lines. In particular, on each scanning line, they are densest at the center and largest at the edges. Moreover, the sampling points collected on an observation line closest to the source are less spaced than those on an observation line farthest.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11591/459772
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