静态串扰噪声识别算法

传统的静态串扰噪声识别算法只验证耦合电容和噪声幅值信息，没有考虑噪声宽度对电路逻辑功能的影响，所以给出的结果过于保守，导致设计收敛的时间被延长。文章在传统算法的基础上增加了噪声宽度这一识别指标，克服了以往算法结果过于保守的缺点。实验表明，通过验证噪声幅值和宽度指标，算法准确地识别出对电路逻辑功能产生影响的静态串扰噪声，为IC设计的后端优化提供了准确信息。

Static Crosstalk Noise Identification Algorithm

Traditional static crosstalk identification methods identify crosstalk targets only using coupling capacitance and noise amplitude information, which lead to the pessimistic results and induce a long time to IC design convergence. In the course of our static crosstalk noise identification, the noise width along with coupling capacitance and noise amplitude are used to identify static crosstalk noise targets, which overcomes the conservative defect of previous methods. Experiment results show that this algorithm can identify static crosstalk that destroy circuits function and provide accurate information for IC back-end optimization.