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Noise Propagation in Multiple-Input ADC-Based Measurement Systems

机译:基于多输入ADC的测量系统中的噪声传播

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摘要

In this paper, the complete statistical characterization of the amplitude spectrum at the output of a multiple-input ADC-based measurement system is derived under the assumption of input channels with different noise levels. In practical applications the input channels correspond to the spatial components of a vector field (e.g., magnetic/electric field). Each output spectral line represents the amplitude of the vector field at a specific frequency. Such amplitude is a random variable depending on the noise levels (internal and external noise) of the input channels. Closed form analytical solution for the probability density function of the vector field amplitude is not available in the mathematical literature under the hypothesis of different noise levels. Therefore, an analytical expression for the probability density function is derived on the basis of a Laguerre series expansion. The impact of the kind of time window, the sampling frequency, and the number of samples is clearly derived and put into evidence. Approximate analytical expressions for the mean value and the variance of the vector field amplitude are also provided. Analytical results are validated by means of numerical simulations.
机译:在本文中,在假设输入通道具有不同的噪声水平的情况下,得出了基于多输入ADC的测量系统输出处幅度谱的完整统计特性。在实际应用中,输入通道对应于矢量场(例如,磁场/电场)的空间分量。每条输出频谱线代表矢量场在特定频率下的振幅。该幅度是随机变量,取决于输入通道的噪声水平(内部和外部噪声)。在不同噪声水平的假设下,数学文献中没有针对矢量场幅度的概率密度函数的闭合形式解析解。因此,基于拉盖尔级数展开式导出了概率密度函数的解析表达式。明确得出时间窗类型,采样频率和样本数量的影响并将其作为证据。还提供了矢量场幅度平均值和方差的近似解析表达式。分析结果通过数值模拟得到验证。

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