Far field reconstruction from positioning error affected near-field data acquired via a nonredundant spherical scanning

F. D’Agostino, F. Ferrara, C. Gennarelli, R. Guerriero, M. Migliozzi
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Abstract

In this communication, an efficient approach to compensate known positioning errors in a near-field - far-field (NF-FF) transformation with spherical scanning for quasi-planar antennas is experimentally validated. Such an approach is based on a nonredundant sampling representation of the voltage measured by the probe, obtained by assuming the antenna under test as enclosed in an oblate ellipsoid, a modelling particularly suitable for dealing with quasi-planar radiating sources. It employs the singular value decomposition method to retrieve the nonredundant NF data at the points fixed by the sampling representation from the acquired irregularly distributed ones. These last are assumed lying on nonuniform parallels so that the two-dimensional problem is reduced to the solution of two independent one-dimensional ones. The NF data needed to carry out the classical spherical NF-FF transformation are then efficiently evaluated from the nonredundant NF data by using an optimal sampling interpolation algorithm. Experimental tests, performed at the Antenna Characterization Lab of the University of Salerno and assessing the effectiveness of the technique, are shown.
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由定位误差引起的远场重建影响了通过非冗余球面扫描获得的近场数据
本文通过实验验证了准平面天线球面扫描在近场-远场(NF-FF)变换中补偿已知定位误差的有效方法。这种方法基于探头测量电压的非冗余采样表示,通过假设被测天线被封闭在一个扁圆椭球中获得,这种建模特别适合处理准平面辐射源。该算法采用奇异值分解方法,从采集到的不规则分布数据中提取采样表示固定点处的非冗余NF数据。最后这些假设位于非均匀平行线上,因此二维问题被简化为两个独立的一维问题的解。然后利用最优采样插值算法从非冗余的NF数据中高效地求出进行经典球面NF- ff变换所需的NF数据。在萨勒诺大学天线特性实验室进行的实验测试显示了该技术的有效性。
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