摘要
对信号采样时,由于难以做到同步采样,在做FFT处理时会出现频谱泄露和栅栏效应,导致测量误差较大。为了解决这些问题,提出了一种基于最小旁瓣九项余弦组合窗的插值FFT算法,并用双谱线理论详细推导了这种算法的修正公式。将该算法通过仿真,与Hanning窗、Blackman窗、Blackman-Har-ris窗、Nuttall窗、六项余弦窗插值算法的测量结果进行对比,验证了该算法具有更好的测量精度,具备实际应用价值。
Because it is difficult to do synchronous sampling when making the signal sampling, the spectral leakage and fence effect will occur during FFT processing, which leads to greater measurement errors. To solve these problems, this paper proposes an interpolation FFT algorithm based on the nine terms cosine-sum window with minimum side-lobe and deduces the correction formula of this algorithm using the doubleline theory. Compare the measurement result of this algorithm by simulation with the measurement results of interpolation algorithm based on the Harming window, Blackman window, Blackman-Harris window, Nuttall window, six terms cosine-sum window, which verify that this algorithm has better measurement accuracy and has the actual application value.
出处
《电力科学与工程》
2012年第10期16-21,共6页
Electric Power Science and Engineering
关键词
谐波
频谱泄露
最小旁瓣
九项余弦组合窗
harmonic
spectrum leakage
minimum side-lobe
nine terms cosine-sum window
