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Using Stochastic Differential Equation for Verification of Noise in Analog/RF Circuits

机译:使用随机微分方程验证模拟/ RF电路中的噪声

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摘要

Today’s analog/RF design and verification face significant challenges due to circuit complexity, process variations and short market windows. In particular, the influence of technology parameters on circuits, and the issues related to noise modeling and verification still remain a priority for many applications. Noise could be due to unwanted interaction between the circuit elements or it could be inherited from the circuit elements. In addition, manufacturing disparity influence the characteristic behavior of the manufactured circuits. In this paper, we propose a methodology for modeling and verification of analog/RF designs in the presence of noise and process variations. Our approach is based on modeling the designs using stochastic differential equations (SDE) that will allow us to incorporate the statistical nature of noise. We also integrate the device variation due to 0.18μ m fabrication process in an SDE based simulation framework for monitoring properties of interest in order to quickly detect errors. Our approach is illustrated on nonlinear Tunnel-Diode and a Colpitts oscillator circuits.
机译:由于电路复杂,工艺变化和市场窗口短,当今的模拟/ RF设计和验证面临巨大挑战。特别是,技术参数对电路的影响以及与噪声建模和验证有关的问题仍然是许多应用程序的优先事项。噪声可能是由于电路元件之间不希望的相互作用引起的,或者可能是从电路元件继承而来的。此外,制造差异会影响所制造电路的特性。在本文中,我们提出了一种在存在噪声和过程变化的情况下对模拟/ RF设计进行建模和验证的方法。我们的方法基于使用随机微分方程(SDE)对设计建模的模型,这将使​​我们能够纳入噪声的统计性质。我们还在基于SDE的仿真框架中集成了因0.18μm的制造工艺而引起的设备变化,用于监视目标特性,以便快速检测错误。在非线性隧道二极管和Colpitts振荡器电路上说明了我们的方法。

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