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Laboratory testing of an SVD-based approach to recover the non-redundant bi-polar NF data from the positioning error affected ones

机译:对基于SVD的方法进行实验室测试,以从受定位误差影响的数据中恢复非冗余双极NF数据

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摘要

This study deals with the problem of the correction of known probe positioning errors, which can occur in an actual planar near-field facility when adopting a non-redundant near-field to far-field (NFTFF) transformation with a bi-polar scan for quasi-planar antennas. To this end, a singular value decomposition based approach is developed to recover the uniform bi-polar samples, whose position is set by the non-redundant sampling representation got by shaping the antenna with a double bowl, from those affected by positioning errors. Then, a 2D optimal sampling interpolation formula is used to accurately reconstruct the plane rectangular near-field data needed by the standard NFTFF transformation from the retrieved non-redundant uniform samples. Experimental results, assessing the capability of the developed procedure to correct even pessimistic positioning errors, are shown.
机译:这项研究解决了已知探头定位误差的校正问题,当采用双极性扫描的非冗余近场到远场(NFTFF)转换时,在实际的平面近场设备中可能会发生这种问题。准平面天线。为此,开发了一种基于奇异值分解的方法来从受定位误差影响的天线中恢复均匀的双极性样本,该样本的位置由通过用双碗形天线成形的非冗余采样表示来设置。然后,使用二维最佳采样插值公式从获取的非冗余均匀样本中准确重建标准NFTFF变换所需的平面矩形近场数据。实验结果表明,该方法评估了所开发程序纠正甚至悲观定位错误的能力。

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