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Application of Phase-Space Filters to Planar Near-Field Antenna Measurements

机译:相空间滤波器在平面近场天线测量中的应用

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Phase-space expansion of spatial near-field data is an expansion into functions that are spatially and spectrally localized. We have previously shown that such a phase-space representation (PSR) can be useful for both antenna radiation phenomenology and evaluating the quality of planar near-field measurements. In this paper, we use the coefficient of a phase-space expansion for filtering. It will be shown that the contribution of some error components is stronger in a particular region of the phase-space. One can take advantage of this fact for phase-space filtering. Two sources of error, namely staggered data grid, and AUT-room interaction; are considered in this paper. For imperfect probe spacing, we shall show that this technique is particularly attractive when the true probe location is unavailable. In the second example, we shall show that the PSR filtering can reduce the side lobe contamination due to AUT/room interactions.
机译:空间近场数据的相空间扩展是对空间和频谱局部功能的扩展。先前我们已经表明,这样的相空间表示(PSR)对于天线辐射现象学和评估平面近场测量的质量都可能有用。在本文中,我们使用相空间扩展系数进行滤波。将表明,某些误差分量的贡献在相空间的特定区域中更强。可以利用这一事实进行相空间滤波。错误的两个来源,即交错的数据网格和AUT与房间的交互;本文考虑。对于不完美的探头间距,我们将证明,当无法获得真正的探头位置时,此技术特别有吸引力。在第二个示例中,我们将显示PSR过滤可以减少由于AUT /房间相互作用而导致的旁瓣污染。

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