Compiled code simulation of analog and mixed-signal systems using piecewise linear modeling of nonlinear parameters:: A case study for ΔΣ modulator simulation

被引:2
|
作者
Zhang, Hui
Doboli, Simona
Tang, Hua
Doboli, Alex [1 ]
机构
[1] SUNY Stony Brook, Dept Elect & Comp Engn, Stony Brook, NY 11794 USA
[2] Hofstra Univ, Dept Comp Sci, Hempstead, NY 11549 USA
关键词
simulation; analog and mixed-signal systems; nonlinear modeling; piecewise linear; neural networks;
D O I
10.1016/j.vlsi.2005.09.001
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a methodology for fast time-domain simulation of analog systems with nonlinear parameters. Specifically, the paper focuses on Delta Sigma analog-to-digital converters (ADC). The method creates compiled-code simulators based on symbolic analysis. Code is optimized using loop invariant elimination and constant folding, well-known compiler optimization methods. Circuits are described as structural macromodels. Nonlinear parameters are expressed using piecewise linear (PWL) models. The paper presents a technique for automatically creating PWL models through model extraction from trained neural networks. As compared to existing behavioral simulation methods for Delta Sigma ADC, this technique is more systematic and accurate. In our experiments, compiled-code simulation was significantly faster than numerical simulation. Hence, the methodology is very useful in analog and mixed-signal system synthesis, which is known to require a large number of simulation steps. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:193 / 208
页数:16
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