A method of Dynamic Resampling for DFT-based harmonic analysis under time-varying frequency conditions

M. Lima, J. R. de Carvalho, D. Coury, A. Cerqueira, C. Duque
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引用次数: 14

Abstract

This paper presents a resampling method based on time-domain interpolation with applications in harmonic analysis in the time-varying frequency scenario. The method dynamically determines the resampling moments of a given signal that was originally sampled at a fixed rate. This process is based on real-time frequency tracking (fundamental component) by means of a PLL (Phase-Locked Loop) structure. Then, the values of the signal in the resampling moments are approximated by piecewise polynomials interpolation functions (Splines). This process is performed in an iterative way, so that a period of the resampled signal always contains the same integer number N of samples. The performance of the method for real-time harmonics tracking in common situations of asynchronous sampling is evaluated by applying the DFT (Discrete Fourier Transform) in the resampled signal using sliding windows. The simulation results show that the use of the method can effectively reduce the energy spreading effect (leakage) caused by asynchronous sampling and improve the estimates accuracy of the analyzed signal harmonics components significantly.
时变频率条件下基于dft的谐波分析动态重采样方法
提出了一种基于时域插值的重采样方法,并将其应用于时变频率下的谐波分析。该方法动态地确定原以固定速率采样的给定信号的重采样矩。这个过程是基于实时频率跟踪(基元),通过锁相环(PLL)结构。然后,用分段多项式插值函数(样条)逼近重采样时刻的信号值。这个过程以迭代的方式进行,因此重采样信号的一个周期总是包含相同的整数N个样本。通过对采用滑动窗口的重采样信号进行离散傅立叶变换,评价了该方法在常见异步采样情况下的实时谐波跟踪性能。仿真结果表明,采用该方法可以有效地减少异步采样引起的能量扩散效应(泄漏),显著提高分析信号谐波分量的估计精度。
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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