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Accurate Algorithms for Parameter Estimation of Multiple Signals

机译:用于多个信号的参数估计的准确算法

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摘要

A novel algorithm for amplitude and phase estimation of the multi-component signals is presented in this paper. The proposed algorithm is based on numerical differentiation and central Lagrange interpolation, and needs 1 signal sample with 7 points and 1 computation process. With any frequency value of component 1, 2 and 3 of the signal over 1Hz to 100kHz, the amplitude and phase angle of the signal are all estimated at an error of lesser than 0.1% with the amplitudes of the component 1, 2 and 3 varying from IV to 200V and the phase angle of the component 1, 2 and 3 varying from 0 to 360. Spending at most half cycle for parameter estimation of the multi-component, so that the proposed algorithm is adaptive to any intelligent measurement and control. A testing example is given to illustrate the proposed algorithm, with the simulation is carried out in Matlab software.
机译:本文提出了一种用于多分量信号的幅度和相位估计的新算法。该算法基于数值分化和中央拉格朗日插值,需要具有7个点和1个计算过程的1个信号样本。对于超过1Hz至100kHz的信号的组分1,2和3的任何频率值,信号的幅度和相位均估计在比0.1%的误差小于0.1%,而组件1,2和3变化的幅度从IV到200V和组件1,2和3的相位角,从0到360变化。在最多半个周期上支出用于多组分的参数估计,从而建议算法适用于任何智能测量和控制。给出测试示例以说明所提出的算法,模拟在MATLAB软件中执行。

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