基于样本均方根的均方根测量方法的比较分析

A. Serov, N. Serov, P. K. Makarychev
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引用次数: 8

摘要

目前,基于样本平方平均的方法是测量均方根值(RMS)最常用的方法。本文讨论了将测量时间平均到最接近的整数样本的方法,并进一步阐明给定电平的输入信号的过渡矩(处理样本的非整数数量的应用)。在后一种情况下,通过应用零阶和一阶近似多项式,在测量时间结束附近对信号进行额外的近似。对于所考虑的每一种方法,都得到了计算均方根测量误差的解析表达式。所得分析结果与参考点的模拟结果吻合较好。利用Matlab和Simulink软件包进行仿真数学建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Analysis of the RMS Measurement Methods Based On the Averaging of the Squares of Samples
At present, the method based on averaging of the squares of samples is the most popular method for the measurement of the root mean square value (RMS). The article discusses the approaches associated with averaging the measurement time to the nearest integer sample and further clarifying the moment of transition of the input signal of a given level (the application of non-integer number of processed samples). In the latter case, an additional approximation of the signal is performed in the vicinity of the end of the measurement time by applying approximation polynomials of the zero and the first order. For each of the approaches under consideration, analytical expressions are obtained for calculation of the RMS measurement error. The obtained analytical results are confirmed by coincidence with the simulation results at reference points. Simulation mathematical modeling is performed by Matlab and Simulink software packages.
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