基于多项式混沌的信道仿真代理模型的发展

M. A. Dolatsara, J. Hejase, D. Becker, M. Swaminathan
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引用次数: 0

摘要

高频信号传输的改进对精细的抖动建模和预测技术提出了要求,这些技术必须提供低于1ps的精度。一般来说,时序抖动分为随机抖动和确定性抖动,后者包括数据相关抖动,这是本文的重点,因为它可能是抖动的主要原因,并且已被证明是具有挑战性的建模。传统上,高速通道眼动图中产生的抖动是使用数千或数百万比特的瞬态仿真来建模的。这种方法可能非常耗时。因此,开发了眼统计分析技术,提供了快速预测眼图和抖动的方法[1]。然而,这些技术只适用于线性系统,这可能是高速信道仿真中抖动的重要组成部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Polynomial Chaos Based Surrogate Models for Channel Simulation
Improvements in high frequency signal transmission places requirements on meticulous jitter modeling and prediction techniques, which have to provide precision below 1 ps. In general timing jitter is divided into random and deterministic jitter, where the latter includes data dependent jitter, which is the focus of this paper, since it can be the dominant cause of jitter and it has proven to be challenging to model. Traditionally, jitter arising in eye-diagrams of high speed channels is modeled using a transient simulation with a length of thousands or millions of bits. This approach can be very time consuming. Hence, statistical eye analysis techniques are developed, providing for fast prediction of eye diagram and jitter [1]. However these techniques are only applicable to linear systems, which can be an important constituent for jitter in high speed channel simulation.
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