Modeling of substrate noise block properties for early prediction

We propose a new approach to substrate noise modeling in early design planning of mixed-signal systems-on-chips (MS-SOCs). It can be applied to a system without any detailed knowledge (physical-layout) about its building blocks. We assume and justify that, in early prediction, only the most significant noise sources of substrate noise need to be considered. To capture important properties of substrate noise we consider the frequency-dependent sensitivity of analog blocks and a noise injection model for noisy digital blocks. We use experimental substrate noise simulations to build our models, and give suggestions on how to estimate noise parameters for building blocks of MS-SOC.