IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, VOL. 58, NO. 1, FEBRUARY 2016 249
Predicting Statistical Characteristics of Jitter Due
to Simultaneous Switching Noise
Chunchun Sui, Student Member, IEEE, Liehui Ren, Student Member, IEEE, Xu Gao, Student Member, IEEE,
Jingnan Pan, James L. Drewniak, Fellow, IEEE, and Daryl G. Beetner, Senior Member, IEEE
Abstract—Switching of logic gates is often responsible for signif-
icant power supply noise. Predicting the jitter resulting from the
power supply noise can be critical to analyze the proper opera-
tion of high-speed devices. The statistical characteristics of jitter,
such as the mean standard deviation of jitter, can be used to place
a meaningful bound on the worst-case timing margin and to es-
timate the bit error rate. While the statistical characteristics of
the noise can be found through simulations of many input logic
vectors, such simulations require significant computational effort
and require methods for choosing suitable data vectors. Vectorless
methods allow rapid analysis of switching without using predefined
input data and can be used to understand which portions of the
logic circuit contribute most to the noise. In this paper, methods
using vectorless techniques are presented to predict the mean and
standard deviation of the power supply noise on the printed circuit
board (PCB), and the mean and standard deviation of the resulting
peak-to-peak jitter in a driver on the same PCB. In experiments,
the techniques were able to predict the average and standard devi-
ation of the peak power supply noise on the PCB with 2% and 8%
error, respectively, and of the peak-to-peak jitter with 21% error,
which is sufficient for predicting how a specific logic design might
impact jitter, and for proposing means to minimize that impact.
Index Terms—Analytical models, field programmable logic ar-
ray, integrated circuit (IC) noise, jitter, noise measurement, power
distribution, statistical analysis.
I. INTRODUCTION
A
S the speed of integrated circuits (ICs) grows and timing
margins shrink, signal integrity issues become increas-
ingly important to an IC design [1] and raise-up critical require-
ments for system optimizations [2], [3]. Power supply noise can
have a major impact on the signal integrity, as an increase in
the noise can result in an increase of the jitter [4]. Switching of
logic gates at clock edges is responsible for significant power
supply noise. An ability to predict bounds on the noise and the
resulting jitter could allow the engineer to account for the jitter
Manuscript received January 28, 2015; revised June 27, 2015; accepted Au-
gust 18, 2015. Date of publication December 29, 2015; date of current version
February 16, 2016. This work was supported in part by the National Science
Foundation under Grant IIP-1440110.
C. Sui and L. Ren were with the Department of Electrical and Computer
Engineering, Electromagnetic Compatibility Laboratory, Missouri University
of Science and Technology, Rolla, MO 65409 USA. They are now with Cisco
Systems, Irvine, CA 92617 USA (e-mail: csdh8@mst.edu; lrzn6@mst.edu).
X. Gao was with the Department of Electrical and Computer Engineering,
Electromagnetic Compatibility Laboratory, Missouri University of Science and
Technology, Rolla, MO 65409 USA (e-mail: xg2z7@mst.edu).
J. Pan, J. L. Drewniak, and D. G. Beetner are with the Department of Elec-
trical and Computer Engineering, Electromagnetic Compatibility Laboratory,
Missouri University of Science and Technology, Rolla, MO 65409 USA (e-mail:
jpfz6@mst.edu; drewniak@mst.edu; dary1@mst.edu).
Color versions of one or more of the figures in this paper are available online
at http://ieeexplore.ieee.org.
Digital Object Identifier 10.1109/TEMC.2015.2474124
and could be used to develop improved designs with less jit-
ter and lower bit error rate. Predicting the jitter caused by the
noise from a particular logic design, however, is challenging. It
requires a method to estimate the reasonable worst-case switch-
ing current consumed by the logic, a method of predicting the
noise voltage resulting from the dynamic current consumed by
the logic, and a method for predicting the jitter from the resulting
noise. While vector-based methods are available for predicting
the power supply noise caused by switching in the logic [5],
vector-based methods require substantial computational effort,
since many vectors must typically be simulated [6]. Finding ap-
propriate vectors is challenging, particularly early in the design
process. The goal of this paper is to develop a method using
vectorless techniques to predict the statistical characteristics of
timing jitter due to simultaneous switching noise. The statistical
characteristics can be used to place bounds on the expected jitter
and improve the logic design.
Prediction of simultaneous switching noise has been a topic of
several recent studies. Power supply noise can be found through
simulations [5] or from closed-form expressions [7]. Power sup-
ply noise from logic implemented in a field programmable gate
array (FPGA) was predicted in [5]. Prediction was enabled with
a high-frequency model of the power delivery network (PDN)
of the die, package, and printed circuit board (PCB). The PCB
was modeled using a cavity structure. Switching current was
determined through simulations in Quartus II of the power con-
sumed by the logic when responding to specific input data [8].
This paper demonstrated that the power supply noise can be
modeled precisely when given sufficient information about the
PDN and the IC switching currents. Similar results were found
in [9]. Input data vectors, however, are not always available and
simulating many random vectors is computationally expensive.
Vectorless methods are computationally efficient and do not
require known input data vectors [10]. Results are predicted us-
ing the statistical likelihood of a switching event, rather than on
exercising logic with specific input vectors. These methods are
typically used to predict the power consumed by a logic design.
As such, most vectorless methods only find the average switch-
ing rate and the average current. In [11], methods were presented
for determining the variance of switching and of current from
clock-to-clock. Calculating both the mean and variance allows
precise statistical bounds to be place on peak current or power
consumption. These techniques will be used here to statistically
characterize the power supply noise.
The relationship between power supply noise and jitter is well
known. A method to correlate simultaneous switching noise
with signal jitter was presented in [12]. This paper studied how
the PDN impedance affects signal jitter and voltage margin. A
similar study in [13] and [14] showed that the output jitter peaks
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