SUBWAVE: a Methodology for Modeling Digital
Substrate Noise Injection in Mixed-Signal ICs
Paolo Miliozzi, Luca Carloni, Edoardo Charbon
and Alberto Sangiovanni-Vincentelli
Abstract:
A methodology is presented for generating compact models
of substrate noise injection in complex logic networks.
For a given gate library, the injection patterns associated with a
gate and an input transition scheme are accurately evaluated using
device-level simulation.
Assuming spatial independence of all noise generating devices, the
cumulative switching noise resulting from all injection patterns is
efficiently computed using a gate-level event-driven simulator.
The resulting injected signal is then sampled and translated into an
energy spectrum which accounts for fundamental frequencies as well as
glitch energy.
Preliminary results demonstrate the validity of the assumptions and
the accuracy of the approach on a set of standard benchmark circuits.