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Sequential sampling algorithm for simultaneous near-field scanning of amplitude and phase

机译:用于幅度和相位的同时近场扫描的顺序采样算法

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This paper describes an automated sequential sampling algorithm for EMI near-field scanning of electronic systems which allows to measure both magnitude and phase of the electromagnetic near-fields simultaneously. The main goal of the sequential sampling algorithm is to drastically reduce the total measurement time to obtain a complete model of the electronic system's near-field distribution. Measuring both magnitude and phase is important for predicting the far-field emission from the near-field or for building equivalent radiation models of the device under test. Previous work described such a sequential sampling algorithm for amplitude-only measurements. The extension towards both amplitude and phase poses two challenges. First, the underlying sampling and modelling techniques have to be adapted such that they can handle building up two separate models at the same time using a common set of optimal sampling points and without significant increase of the measurement time. Second, a good choice has to be made with respect to which components will be sampled and modelled. It is shown that the most advantageous choice is to sample and model the real and imaginary components of the near-fields instead of the amplitude and phase directly.
机译:本文介绍了一种用于电子系统EMI近场扫描的自动顺序采样算法,该算法允许同时测量电磁近场的幅度和相位。顺序采样算法的主要目标是大大减少总的测量时间,以获得电子系统近场分布的完整模型。测量幅度和相位对于预测近场的远场发射或建立被测设备的等效辐射模型非常重要。先前的工作描述了这种仅用于幅度测量的顺序采样算法。向幅度和相位的扩展都提出了两个挑战。首先,必须对基础的采样和建模技术进行调整,以使它们可以使用一组通用的最佳采样点同时处理建立两个单独的模型,而又不会显着增加测量时间。其次,必须对将对哪些组件进行采样和建模做出很好的选择。结果表明,最有利的选择是对近场的实部和虚部进行采样和建模,而不是直接对振幅和相位进行采样。

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