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A novel method for fundamental frequency measurement of multi-harmonic signals with noises using numerical differentiation

机译:用数值微分法测量带噪声的多谐波信号的基频新方法

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A high-accuracy, wide-range frequency estimation algorithm for the non-sinusoidal signals with white Gaussian noises basing on a numerical differentiation and central Lagrange interpolation is proposed in this paper. The proposed algorithm needs 7 sample points for frequency estimation of the signals with 3 order harmonics. The sample frequency is not restricted by the real value of the frequency of the non-sinusoidal signal and the mean of the noises. Under conditions with white noise, the frequency of the signal is estimated at an error of 0.001% over 1 Hz to 1000 kHz with the amplitudes of 1st, 2nd and 3rd of the non-sinusoidal signal varying from 1 to 320 V and the phase angle of 1st, 2nd and 3rd of the non-sinusoidal signal varying from 0 to 360 in at most half cycle. Using Matlab software, the simulation results of the test example are satisfactory.
机译:提出了一种基于数值微分和中心拉格朗日插值的高斯白噪声非正弦信号的高精度,宽频率估计算法。所提出的算法需要7个采样点来对3次谐波的信号进行频率估计。采样频率不受非正弦信号频率的实数值和噪声平均值的限制。在有白噪声的条件下,信号频率估计为在1 Hz至1000 kHz范围内为0.001%的误差,非正弦信号的第1,第2和第3幅度在1至320 V之间变化并且相位角非正弦信号的第1,第2和第3个信号在最多半个周期内从0到360变化。使用Matlab软件,测试示例的仿真结果令人满意。

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