CAD Algorithms for Automated Nonlinear Macromodelling

用于自动非线性宏观建模的 CAD 算法

• 批准号: 0204278
• 负责人: Jaijeet Roychowdhury
• 金额: $ 16万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2007-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0204278&HistoricalAwards=false
• 关键词: CAD; Algorithms; Automated; Nonlinear; Macromodelling

The research component of the proposal is to devise automatic macromodeling procedures that extract higher-level models from detailed lower-level ones for automated design of Systems-on-Chip. An important aspect of this process, particularly for analog, mixed-signal and RF modules, is the incorporation of nonlinearities. This is essential for distortion and intermodulation characteristics. This work is concerned chiefly with modeling weak circuit nonlinearities. A significane increase in the predicted fidelity over current (essentially linear theory-based) procedures is expected. The proposed work is based on Volterra non-linear series expansion that captures essential non-linearities of a broad class of devices which include power amplifiers, mixers, frequency doublers, and switched-capacitor filters. The work is likely to be expandable to companding filters and Analog-to-Digital converters.

该提案的研究部分是设计自动宏建模程序，从详细的较低级别的自动化设计的系统芯片的模型提取更高级别的。 此过程的一个重要方面是非线性的结合，特别是对于模拟、混合信号和RF模块。 这对失真和互调特性至关重要。 这项工作主要涉及建模弱电路非线性。 预计在当前（基本上是线性理论为基础的）程序的预测保真度显着增加。 拟议的工作是基于沃尔泰拉非线性系列扩展，捕捉基本的非线性的广泛的一类设备，其中包括功率放大器，混频器，倍频器，和开关电容滤波器。 这项工作很可能扩展到压扩滤波器和模数转换器。