Stability analysis of multiple-feedback oversampled /spl Sigma/-/spl Delta/ A/D converter configurations

N. A. Fraser, B. Nowrouzian
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引用次数: 8

Abstract

This paper is concerned with the estimation of the maximum DC input signal level for five different practical feedforward and multiple-feedback oversampled /spl Sigma/-/spl Delta/ A/D converters. This technique is based on replacing the constituent quantizer by a uniformly distributed additive white noise source and a variable gain element, assuming the following conditions are satisfied: a) the quantizer input signal and quantization error are uncorrelated, b) the quantizer input signal is Gaussian distributed, and c) the quantization noise is white. It is shown that the statistical estimation technique is quite accurate for /spl Sigma/-/spl Delta/ A/D converters with small noise power gains, but that the accuracy tends to decrease for A/D converters having larger noise power gains. It is further shown that this reduction in accuracy stems from the fact that the assumptions listed under a), b), and c) are not exactly satisfied. It is finally shown that the probability density function of the input signal to the quantizer may be modelled more accurately using the Gram-Charlier series.
多反馈过采样/spl Sigma/-/spl Delta/ A/D转换器配置的稳定性分析
本文研究了五种不同的实际前馈和多反馈过采样/spl Sigma/-/spl Delta/ A/D变换器的最大直流输入信号电平的估计。该技术是基于用均匀分布的加性白噪声源和变增益元件代替成分量化器,假设满足以下条件:a)量化器输入信号与量化误差不相关,b)量化器输入信号为高斯分布,c)量化噪声为白。结果表明,对于噪声功率增益较小的/spl Sigma/-/spl Delta/ A/D转换器,统计估计技术是相当准确的,但对于噪声功率增益较大的A/D转换器,统计估计技术的精度有下降的趋势。进一步表明,这种准确性的降低源于a)、b)和c)所列的假设不完全满足这一事实。最后表明,使用Gram-Charlier级数可以更准确地模拟量化器输入信号的概率密度函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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