Nearly Exact Analytical Formulation of the DNL Yield of the Digital-to-Analog Converter

作者：Park Henry^*; Yang Chih Kong Ken

来源：IEEE Transactions on Circuits and Systems II-Express Briefs, 2012, 59(9): 563-567.

DOI：10.1109/TCSII.2012.2208674

• Correlated Gaussian random variables
• differential nonlinearity (DNL)
• digital-to-analog converter (DAC)
• segmentation
• static linearity

Simple analytical differential nonlinearity (DNL) yield models of an arbitrarily segmented digital-to-analog converter (DAC) are presented. The yield estimation requires the analysis of the correlated DNL variation at each transition of the input code. Instead of using high-order integration of multivariate Gaussian probability density functions, this brief explores a new perspective on the formulation of the DNL yield by selecting essential test codes and by analyzing correlation coefficients between the test codes. Generally, for most DAC designs > 6 bits, DNL caused by the binary and thermometer groups are equivalently uncorrelated. This statistical independence simplifies the DNL yield model as a multiplication of each section's yield, which involves only separate 1-D integration. We provide behavioral and HSPICE Monte Carlo simulation results that precisely match the yield estimation predicted by our models.

• 出版日期2012-9