Beyond FFT algorithm in analyzing harmonics at frequency range of 2 kHz to 500 kHz

H. Shadmehr, R. Chiumeo, F. Belloni
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引用次数: 4

Abstract

In this work, the algorithms Exact Model Order Estimation of Signal Parameters via Rotational Invariance (EMO-ESPRIT) and Sliding-Window Exact Model Order-ESPRIT (SW-EMO-ESPRIT) are analyzed in order to detect the frequency components of a distorted signal in the 2-500 kHz frequency range, with the aim of providing a possible measurement solution effective for all-over the frequency range of interest. Indeed, some standards, like IEC 61000-4-7 and IEC 61000-4-30, deal with measurement methods which are suitable for only part of that frequency range (e.g., IEC 61000-4-7: 2-9 kHz and IEC 61000-4-30: 2–150 kHz), and suggest to apply FFT algorithm on a measured rectangular window with 200 ms duration (50/60 Hz power systems). The previously mentioned methods and the method suggested by the standards are tested here on both simulated synthetic signals and experimental measured signals and the obtained results are then compared to find their “pros and cons”.
超越FFT算法在分析频率范围为2khz至500khz的谐波
在这项工作中,为了检测2-500 kHz频率范围内失真信号的频率成分,分析了通过旋转不变量精确模型阶估计信号参数(EMO-ESPRIT)和滑动窗口精确模型阶估计esprit (SW-EMO-ESPRIT)算法,目的是提供一种可能的测量解决方案,适用于所有感兴趣的频率范围。事实上,一些标准,如IEC 61000-4-7和IEC 61000-4-30,处理的测量方法只适用于该频率范围的一部分(例如,IEC 61000-4- 7:2 -9 kHz和IEC 61000-4-30: 2-150 kHz),并建议在持续时间为200毫秒的测量矩形窗口(50/60 Hz电源系统)上应用FFT算法。本文将上述方法和标准建议的方法分别在模拟合成信号和实验测量信号上进行测试,并对得到的结果进行比较,找出它们的“优缺点”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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