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Time domain reduced order macromodel for interconnects excited by incident fields

机译:用于入射场激发的互连的时域降阶宏模型

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摘要

This paper presents an algorithm for reduced order macromodeling of high speed interconnects excited by incident electromagnetic fields. The reduced order macromodel has the form of a passive reduced order network with Norton equivalent sources at the ports representing the incident fields. A projection based order reduction method is presented to efficiently evaluate the Norton equivalent sources and Krylov subspace methods are used to obtain the passive reduced order network. The resulting macromodel is typically an order of magnitude smaller than the original one and can be simulated in standard time domain simulators such as SPICE.
机译:本文提出了一种由入射电磁场激发的高速互连的降阶宏模型化算法。降阶宏模型具有被动降阶网络的形式,在代表入射场的端口上具有诺顿等效源。提出了一种基于投影的降阶方法来有效地评估诺顿等效源,并使用Krylov子空间方法来获得无源降阶网络。生成的宏模型通常比原始宏模型小一个数量级,并且可以在标准时域仿真器(如SPICE)中进行仿真。

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