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An algorithm for frequency estimation of signals composed of multiple single-tones

机译:一种由多个单音组成的信号的频率估计算法

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The high-accuracy, wide-range frequency estimation algorithm for multi-component signals presented in this paper, is based on a numerical differentiation and central Lagrange interpolation. With the sample sequences, which need at most 7 points and are sampled at a sample frequency of 25600 Hz, and computation sequences, using employed a formulation proposed in this paper, the frequencies of each component of the signal are all estimated at an accuracy of 0.001% over 1 Hz to 800 kHz with the amplitudes of each component of the signal varying from 1 V to 200 V and the phase angle of each component of the signal varying from 0° to 360°. The proposed algorithm needs at most a half cycle for the frequencies of each component of the signal under noisy or non-noisy conditions. A testing example is given to illustrate the proposed algorithm in Matlab environment.
机译:本文提出的一种高精度,宽范围的多分量信号频率估计算法是基于数值微分和中心拉格朗日插值的。对于需要最多7个点并以25600 Hz的采样频率采样的采样序列,以及使用本文提出的公式计算序列,信号各个分量的频率都以在1 Hz至800 kHz范围内为0.001%,信号的每个分量的幅度在1 V至200 V之间变化,信号的每个分量的相角在0°至360°之间变化。所提出的算法在有噪声或无噪声条件下,信号每个分量的频率最多需要半个周期。给出了一个测试实例来说明该算法在Matlab环境中的应用。

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