首页> 外文期刊>Applied Computational Electromagnetics Society journal >An Effective Iterative Algorithm to Correct the Probe Positioning Errors in a Non-Redundant Plane-Rectangular Near-Field to Far-Field Transformation
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An Effective Iterative Algorithm to Correct the Probe Positioning Errors in a Non-Redundant Plane-Rectangular Near-Field to Far-Field Transformation

机译:一种有效的迭代算法,用于校正非冗余平面矩形近场到远场转换中的探头定位误差

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摘要

An algorithm for the effective compensation of known positioning errors, affecting the samples acquired by the probe in a non-redundant plane-rectangular (PR) near-field to far-field (NFFF) transformation, is presented and fully assessed by experimental tests. This transformation adopts a non-conventional PR scan, named planar wide-mesh scan (PWMS), characterized by meshes widening more and more as their distance from the measurement plane center increases, and uses a non-redundant sampling representation of the probe voltage. Such a representation is obtained by considering the antenna as contained in an oblate spheroid, to precisely determine the input NF data for the traditional PR NFFF transformation from the PWMS samples. These samples are unavailable in presence of positioning errors, but, as it will be shown, can be effectively retrieved from the errors affected ones by applying an iterative procedure.
机译:提出了一种有效补偿已知定位误差的算法,该算法会影响探针在非冗余平面矩形(PR)近场到远场(NFFF)转换中获取的样本,并通过实验测试进行了全面评估。这种转换采用了一种非常规的PR扫描,称为平面宽网扫描(PWMS),其特征在于,随着距测量平面中心的距离增加,网格越来越宽,并使用探针电压的非冗余采样表示。通过考虑将天线包含在扁球体中,从而从PWMS样本中精确确定传统PR NFFF变换的输入NF数据,可以得到这样的表示。这些样本在存在定位误差的情况下不可用,但是,如将显示的那样,可以通过应用迭代过程从受影响的误差中有效地检索这些样本。

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