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Time and spatial filtering for echo reduction in antenna measurements

机译:时间和空间滤波以减少天线测量中的回声

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摘要

During the last years, new algorithms, based on time filtering, spatial or modal filtering, have been designed for echo reduction techniques applied to antenna measurements. These algorithms have been used for different applications where the effect of the echoes is important, as far field system, VHF or UHF applications, automotive systems, small antennas, etc. The authors, in previous papers, have analysed the effect of different algorithms: time filtering (fft, non uniform dft or matrix pencial), modal filtering based on Spherical modes (MV-Echo) and spatial filtering based on Integral Equations (Insight) and holographic techniques (fft and dft) to cancel the effect of the reflections. This comparison has been applied to the measurements of a dipole antenna (SD1900) using a StarLab system. It is observed that each of the algorithms is better for different situations, depending on the source of the echo. For instance, time filtering techniques are good for reflections coming from different distances with respect the direct ray, but not so good for close reflections. In addition hey need a large frequency band to work properly. Spatial algorithms can correct the effect of positioners or other structures close to the antenna under test, but they are better for planar near field acquisitions and worse for classical single probe spherical near field where the antenna is rotated and probe is fixed (e.g. roll-over-azimuths systems). Moreover, they require extra information of the AUT geometry. This paper presents first a comparison of each algorithm and then, a combination of time and spatial techniques based on uniform or non-uniform DFT to take advantage of the benefits of each algorithm for different origins of the reflections.
机译:在过去的几年中,基于时间滤波,空间或模态滤波的新算法已经针对应用于天线测量的回声降低技术进行了设计。这些算法已用于对回声的影响很重要的不同应用,例如远场系统,VHF或UHF应用,汽车系统,小型天线等。在以前的论文中,作者分析了不同算法的影响:时间滤波(fft,非均匀dft或矩阵积分),基于球面模式的模态滤波(MV-Echo)和基于积分方程(Insight)和全息技术的空间滤波(fft和dft)来消除反射的影响。该比较已应用于使用StarLab系统的偶极天线(SD1900)的测量。可以看出,根据回声的来源,每种算法在不同情况下都更好。例如,时间滤波技术对于相对于直射光线来自不同距离的反射很有用,而对于近距离反射则不太好。此外,您需要一个较大的频带才能正常工作。空间算法可以校正靠近被测天线的定位器或其他结构的影响,但是它们对于平面近场采集更好,而对于天线旋转且探头固定(例如,翻滚)的经典单探针球形近场则效果较差-方位角系统)。此外,它们需要有关AUT几何形状的额外信息。本文首先介绍了每种算法的比较,然后介绍了基于均匀或非均匀DFT的时间和空间技术的组合,以利用每种算法对不同反射源的优势。

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