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首页> 外文期刊>Journal of Electronic Testing >A Fully-Settled Linear Behavior Plus Noise Model for Evaluating the Digital Stimuli of the Design-for-Digital-Testability Σ-Δ Modulators
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A Fully-Settled Linear Behavior Plus Noise Model for Evaluating the Digital Stimuli of the Design-for-Digital-Testability Σ-Δ Modulators

机译:用于评估数字可测试性Σ-Δ调制器的数字激励的完全建立的线性行为加噪声模型

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摘要

Evaluating the digital stimuli used in the design-for-digital-testability (DfDT) Σ-Δ modulator is a time-consuming task due to its oversampling and non-linear nature. Although behavioral simulations can substantially improve the simulation speed, conventional behavioral models fail to provide accurate enough signal-to-noise ratio (SNR) predictions for this particular application. In this paper, a fully-settled linear behavior plus noise (FSLB+N) model for the DfDT Σ-Δ modulator is presented to improve both the accuracy and the speed of the behavioral simulations. The model includes the following parameters: the finite open-loop gains, the offsets, the finite output swings, the flicker noise of the operational amplifiers (OPAMPs), as well as the thermal noises of the switched capacitors, the OPAMPs, and the reference supplies. With the proposed model, the behavioral simulation results demonstrate a high correlation with the measurement data. On average, the SNR difference between the simulation and the measurement is –1.1 dB with a maximum of 0.05 dB and a minimum of –2.2 dB. Comparing with the circuit-level simulation using HSPICE, the behavioral simulation with the FSLB+N model is 1,190,000 times faster. The proposed model not only can be used for evaluating the digital stimulus candidates, but also can be applied to system-level simulations of the mixed-signal design with an embedded DfDT Σ-Δ modulator.
机译:评估数字可测试性设计(DfDT)Σ-Δ调制器中使用的数字激励是一项耗时的工作,因为它具有过采样和非线性的特性。尽管行为仿真可以大大提高仿真速度,但是常规行为模型无法为该特定应用提供足够准确的信噪比(SNR)预测。本文提出了一种用于DfDTΣ-Δ调制器的完全稳定的线性行为加噪声(FSLB + N)模型,以提高行为仿真的准确性和速度。该模型包括以下参数:有限的开环增益,偏移,有限的输出摆幅,运算放大器(OPAMP)的闪烁噪声,以及开关电容器,OPAMP和参考电压的热噪声。耗材。利用所提出的模型,行为仿真结果表明与测量数据高度相关。平均而言,仿真和测量之间的SNR差为–1.1 dB,最大为0.05 dB,最小为–2.2 dB。与使用HSPICE进行的电路级仿真相比,使用FSLB + N模型进行的行为仿真要快1,190,000倍。所提出的模型不仅可以用于评估数字刺激候选者,而且可以应用于带有嵌入式DfDTΣ-Δ调制器的混合信号设计的系统级仿真。

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