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A Comprehensive and Modular Stochastic Modeling Framework for the Variability-Aware Assessment of Signal Integrity in High-Speed Links

机译:用于高速链路中信号完整性的可变性感知评估的综合和模块化随机建模框架

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摘要

This paper presents a comprehensive and modular modeling framework for stochastic signal integrity analysis of complex high-speed links. Such systems are typically composed of passive linear networks and nonlinear, usually active, devices. The key idea of the proposed contribution is to express the signals at the ports of each of such system elements or subnetworks as a polynomial chaos expansion. This allows one to compute, for each block, equivalent deterministic models describing the stochastic variations of the network voltages and currents. Such models are synthesized into SPICE-compatible circuit equivalents, which are readily connected together and simulated in standard circuit simulators. Only a single circuit simulation of such an equivalent network is required to compute the pertinent statistical information of the entire system, without the need of running a large number of time-consuming electromagnetic circuit cosimulations. The accuracy and efficiency of the proposed approach, which is applicable to a large class of complex circuits, are verified by performing signal integrity investigations of two interconnect examples.
机译:本文为复杂的高速链路的随机信号完整性分析提供了一个全面的模块化建模框架。这种系统通常由无源线性网络和非线性(通常为有源)设备组成。提出的贡献的关键思想是将这些系统元素或子网的每个端口的信号表示为多项式混沌扩展。这样一来,每个模块就可以计算出等效的确定性模型,以描述网络电压和电流的随机变化。这些模型被合成为与SPICE兼容的等效电路,这些等效电路可以轻松连接在一起并在标准电路仿真器中进行仿真。仅需对这种等效网络进行单电路仿真,即可计算整个系统的相关统计信息,而无需运行大量耗时的电磁电路协同仿真。通过执行两个互连示例的信号完整性调查,可以验证所提出方法的准确性和效率,该方法适用于大量复杂电路。

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