Extracting device-parameter variations using a single sensitivity-configurable ring oscillator

Yuma Higuchi, Kenichi Shinkai, M. Hashimoto, R. Rao, S. Nassif
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引用次数: 6

Abstract

The RO(Ring-Oscillator)-based sensor is one of easily-implementable variation sensors, but for decomposing the observed variability into multiple unique device-parameter variations, a large number of ROs with different structures and sensitivities to device-parameters is required. This paper proposes a scheme for sensing multiple device-parameter variations with just a single reconfigurable RO. This sensitivity-configurable RO has a number of configurations available and this property can be exploited for reducing sensor area while improving estimation accuracy through iterative estimation. To minimize the prospective error, the proposed estimation iterates: (1) selecting the best configuration that minimizes the prospective estimation error around the current estimates; and (2) updating the estimates with the selected configuration. This experiment was carried out assuming a 32-nm predictive technology model. Experimental results show that device-parameter extraction with a single RO is feasible and the error of the extracted parameters is reduced by 35 to 53% with the improved objective function and iterative estimation.
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使用单个灵敏度可配置的环形振荡器提取设备参数变化
基于环形振荡器(Ring-Oscillator, RO)的传感器是一种易于实现的变化传感器,但为了将观测到的变异性分解为多个唯一的器件参数变化,需要大量具有不同结构和对器件参数敏感性的RO。本文提出了一种利用单个可重构RO来感知多个器件参数变化的方案。这种灵敏度可配置的RO有许多可用的配置,这种特性可以用于减少传感器面积,同时通过迭代估计提高估计精度。为了最小化预期误差,提出的估计迭代:(1)在当前估计周围选择最小化预期误差的最佳配置;(2)用选择的配置更新估计。本实验采用32nm预测技术模型进行。实验结果表明,采用改进的目标函数和迭代估计,单RO提取设备参数是可行的,提取参数的误差降低了35% ~ 53%。
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