基于频率相关过松弛的高速信道快速迭代仿真

Haisheng Hu, A. Chinea, Stefano Grivet-Talocia, M. Miscuglio
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引用次数: 3

摘要

本文提出了一种以非线性网络为终端的电长高速信道的优化波形松弛求解器。将信道和终端的时域散射算子分别转换为递归卷积和非线性离散滤波器。然后将横向和纵向解耦应用于信道算子,并引入合适的松弛源,迭代求解直到收敛。为了优化收敛速度,引入了频率相关的过松弛参数。数值结果表明,相对于以前的波形松弛公式,显著减少了关键基准的运行时间和迭代计数。
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Fast iterative simulation of high-speed channels via frequency-dependent over-relaxation
This paper presents an optimized Waveform Relaxation solver for electrically-long high-speed channels terminated by nonlinear networks. The time-domain scattering operators of channel and terminations are cast as recursive convolutions and nonlinear discrete-time filters, respectively. A transverse and longitudinal decoupling is then applied to the channel operator, with the introduction of suitable relaxation sources, and solved iteratively until convergence. A frequency-dependent over-relaxation parameter is introduced in order to optimize the convergence rate. Numerical results show significantly reduced runtime and iteration count for critical benchmarks with respect to previous Waveform Relaxation formulations.
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