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Near-Field/Far-Field Transformation with Helicoidal Scanning from Irregularly Spaced Data

机译:具有来自不规则间隔数据的螺旋扫描近场/远场变换

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摘要

A fast and accurate technique for the compensation of the probe positioning errors in the near-field/far-field transformation with helicoidal scanning is proposed in this paper. It relies on a nonredundant sampling representation using a spherical modelling of the antenna under test and employs an iterative scheme to evaluate the near-field data at the points fixed by the helicoidal nonredundant representation from the acquired irregularly distributed ones. Once these helicoidal data have been recovered, those required by a classical cylindrical near-field/far-field transformation are efficiently determined by using an optimal sampling interpolation algorithm. Some numerical tests assessing the effectiveness of the proposed approach and its stability with respect to random errors affecting the near-field data are shown.
机译:本文提出了一种快速准确的技术,用于补偿近场/远场变换的探头定位误差,并在本文中提出了螺旋扫描的近场/远场变换。它依赖于使用被测天线的球面建模的非还原采样表示,并且采用迭代方案来评估由从获取的不规则分布的点固定的点处固定的点处的近场数据。一旦回收了这些螺旋数据,通过使用最佳采样插值算法有效地确定经典圆柱近场/远场变换所需的那些。一些数值测试,评估了所提出的方法的有效性及其对影响近场数据的随机误差的稳定性。

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