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Harmonic Signal Processing Method Based on the Windowing Interpolated DFT Algorithm

机译:基于加窗插值DFT算法的谐波信号处理方法

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摘要

The discrete Fourier transform (DFT) has become a main method of the harmonic analysis because it can be easily implemented in embedded system, but the conventional DFT is afflicted by the spectral leakage and the picket fence effect (PFE) in the asynchronous sampling. In this paper, the frequency-domain estimation method of the harmonic parameters, which is based on the windowing interpolated DFT (IpDFT) algorithm, is considered. In the modulus-based windowing IpDFT algorithm, a novel approach of frequency estimation error caused by the asynchronous sampling is proposed, and it is obtained by using the dichotomy approach algorithm. The proposed method can be easily carried out to solve the high order equations by microcontroller. In order to reduce the other harmonic measurement error caused by the fundamental component spectral interference, the rectification formula of frequency estimation error is derived for the Blackman window. The feasibility and validity of the proposed methods are confirmed by computer simulations and actual experiments of multi-frequency signals.
机译:离散傅里叶变换(DFT)已成为谐波分析的主要方法,因为它可以轻松地在嵌入式系统中实现,但是常规DFT受到异步采样中的频谱泄漏和纠缠栅栏效应(PFE)的困扰。本文考虑了基于加窗插值DFT(IpDFT)算法的谐波参数频域估计方法。在基于模量的加窗IpDFT算法中,提出了一种新的异步采样引起的频率估计误差的方法,并采用二分法进行求解。利用微控制器可以很容易地实现所提出的方法来求解高阶方程。为了减少由基波分量频谱干扰引起的其他谐波测量误差,针对布莱克曼窗推导了频率估计误差的校正公式。计算机仿真和多频信号的实际实验证实了所提方法的可行性和有效性。

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