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Estimating Method of the Spectrum Measurement Error Caused by the ADC Quantization Noiset

机译:ADC量化噪声引起的频谱测量误差的估计方法

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Currently, the method of spectrum measurement based on the application of discrete Fourier transform (DFT) is the most popular. To perform DPF, the input signal must be discrete, which implies the presence of an analog-to-digital converter (ADC) in the measuring channel. Resolution of any ADC is finite, and it is create the quantization error. The error of ADC quantization results to additional measurement error of amplitude and phase spectrum. The simulation results show that the existing methods of estimation of this error results to a significant overstatement of the evaluation value. The paper considers a new technique (the “composite” method) of estimating the measurement error of amplitude spectrum caused by the ADC quantization noise. The proposed method is based on approximation of the spectrum of the ADC output signal (code) by a simple analytical function. Analytical expressions which allow for a given input signal, ADC chip and sample rate to estimate the measurement error of the signal spectrum caused by the ADC quantization noise are obtained. The comparison of the proposed method of error estimation with the existing methods is performed. Simulation results are obtained in Matlab software package.
机译:当前,基于离散傅里叶变换(DFT)的应用的频谱测量方法是最流行的。为了执行DPF,输入信号必须是离散的,这意味着在测量通道中存在模数转换器(ADC)。任何ADC的分辨率都是有限的,并且会产生量化误差。 ADC量化误差导致幅度和相位频谱的附加测量误差。仿真结果表明,现有的估计该误差的方法导致评估值明显过高。本文考虑了一种新技术(“复合”方法),该技术可估算由ADC量化噪声引起的振幅谱的测量误差。所提出的方法基于通过简单解析函数对ADC输出信号(代码)的频谱进行近似的方法。获得允许给定输入信号,ADC芯片和采样率来估计由ADC量化噪声引起的信号频谱的测量误差的解析表达式。将所提出的误差估计方法与现有方法进行比较。仿真结果是在Matlab软件包中获得的。

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