宽带延时宏模型高效延时提取方法

在高速电路信号完整性分析中,电大尺寸互连的建模仿真越来越普遍。而宽带延时宏模型以其仿真的高效性越来越受到重视,但现有延时提取方法比较耗时,限制了延时宏模型整体建模效率的提高。文中提出了一种基于傅里叶反变换IFT的高效延时提取方法。该方法不仅能从频域离散数据中提取多重延时项,而且可以较好地识别其中主要延时项以优化建模过程。文中在Matlab环境中实现该方法,并与目前常用的Gabor变换方法作对比。实验结果表明,文中方法大幅提高了延时提取效率,并且在宽带频域数据情况下具有较高的精度。

An Efficient Method of Delay Estimation for Broadband Delay-based Macromodeling

In the modeling and simulation for electrically large interconnect of high-speed circuit,the high simulation efficiency of Broadband Delay-based Macromodel is becoming more of a concern,but the existing methods of delay estimation are time-consuming,which severely limit the overall macromodeling efficiency.For this,an efficient delay-estimation method based on the IFT is presented in the paper.The efficient method not only is able to estimate multiple delays from tabulated frequency data,but also can identify the dominant delay terms for optimizing the modeling process.This method is implemented in MATLAB and compared with the Gabor transform-based method mostly used in frequency domain.The experimental results show that the proposed method greatly improves the efficiency of delay estimation and achieves high accuracy in use of broadband frequency domain data.