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Near to Far-Field Plane-Polar Transformation from Probe Positioning Error Affected Data

机译:受探针定位误差影响的数据的近场平面-极转换

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摘要

In this article, two efficient approaches for the correction of known positioning errors of the measurement probe in a plane-polar near to far-field (NTFF) transformation, requiring a minimum number of NF data in the case of quasi-planar antennas, are presented and experimentally assessed. Such a NTFF transformation benefits from a non-redundant sampling representation of the voltage detected by the probe got by modeling an antenna with a quasi-planar geometry through a double bowl, a surface consisting of two circular bowls with the same aperture radius, but with lateral bends which may differ to better fit the antenna shape. The uniform samples, i. e., those at the points set by the representation, are accurately retrieved from the collected not regularly distributed ones either by applying a singular value decomposition based approach or an iterative scheme. Then, the input NF data necessary for the classical plane-rectangular NTFF transformation are evaluated from the so retrieved non-redundant uniform samples through a 2-D optimal sampling interpolation formula.
机译:在本文中,有两种有效的方法可用于校正在平面极近场(NTFF)转换中测量探针的已知定位误差,在准平面天线的情况下,需要最少数量的NF数据。介绍并进行实验评估。这种NTFF转换得益于通过对双平面碗形准平面几何形状的天线进行建模而获得的,由探头检测到的电压的非冗余采样表示,该表面由两个具有相同孔径半径的圆形碗组成,但具有横向弯曲可能会有所不同,以更好地适应天线的形状。统一样本,即。例如,通过应用基于奇异值分解的方法或迭代方案,可以从收集到的不规则分布的对象中准确地检索出由表示所设置的点处的对象。然后,通过二维最佳采样插值公式,从检索到的非冗余均匀采样中评估经典平面矩形NTFF转换所需的输入NF数据。

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