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Harmonic Analysis Based on Blackman-Harris Self-Multiplication Window

机译:基于布莱克曼-哈里斯自乘窗口的谐波分析

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Asynchronous sampling and non-periodic truncation cause spectral leakage during Fast Fourier transform (FFT) analysis, resulting in low accuracy of harmonic parameter estimation. The windowed interpolation algorithm can effectively suppress the negative impact of the spectrum leakage and fence effects in the parameter estimation process. In this paper, a new cosine window with better side-lobe performance than some classical windows was introduced via second-order self-multiplication of the Blackman-Harris window. Based on this, the estimation algorithms for the frequency, amplitude and phase of the harmonics were also proposed by using triple-spectrum-line interpolation method. The simulation results verify effectiveness of the new method.
机译:异步采样和非周期性的截断会导致快速傅立叶变换(FFT)分析期间的频谱泄漏,从而导致谐波参数估计的准确性降低。窗口插值算法可以有效地抑制参数估计过程中频谱泄漏和围栏效应的负面影响。本文通过Blackman-Harris窗的二阶自乘法,介绍了一种新的余弦窗,其旁瓣性能比某些经典的窗好。在此基础上,还提出了利用三谱线插值法估计谐波频率,振幅和相位的算法。仿真结果验证了该方法的有效性。

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