Macromodeling of nonlinear digital I/O drivers

drjiachen

Macromodeling of nonlinear digital I/O drivers
Abstract—In this paper, a modeling technique using spline
functions with finite time difference approximation is discussed
for modeling moderately nonlinear digital input/output (I/O)
drivers. This method takes into account both the static and the
dynamic memory characteristics of the driver during modeling.
Spline function with finite time difference approximation includes
the previous time instances of the driver output voltage/current to
capture the output dynamic characteristics of digital drivers accurately.
In this paper, the speed and the accuracy of the proposed
method is analyzed and compared with the radial basis function
(RBF) modeling technique, for modeling different test cases.
For power supply noise analysis, the proposed method has been
extended to multiple ports by taking the previous time instances
of the power supply voltage/current into account. The method
discussed can be used to capture sensitive effects like simultaneous
switching noise (SSN) and cross talk accurately when multiple
drivers are switching simultaneously. A comparison study between
the presented method and the transistor level driver models indicate
a computational speed-up in the range of 10–40 with an error
of less than 5%. For highly nonlinear drivers, a method based on
recurrent artificial neural networks (RNN) is discussed.

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laurabucan

好东西，学习下！