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

机译:时变频率条件下基于DFT的谐波分析的动态重采样方法

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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.
机译:本文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场景下的谐波分析中。该方法动态地确定最初以固定速率采样的给定信号的重采样时刻。该过程基于实时频率跟踪(基本成分),并通过PLL(锁相环)结构进行。然后,通过分段多项式插值函数(样条线)来近似重采样时刻的信号值。该处理以迭代的方式执行,使得重新采样的信号的周期总是包含相同整数N个采样。通过使用滑动窗口在重新采样的信号中应用DFT(离散傅里叶变换),可以评估在异步采样的常见情况下实时谐波跟踪方法的性能。仿真结果表明,该方法可以有效降低异步采样引起的能量扩散效应(泄漏),并显着提高分析信号谐波分量的估计精度。

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