IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, VOL. 52, NO. 3, AUGUST 2010 629
Block Analysis of a Voltage Supply Chain: Mixed
Electromagnetic Modeling and Validation
Roberto Ferrauto, Francesco De Paulis, Member, IEEE, Ernesto Ippoliti, Franco Vasarelli,
Ulisse Di Marcantonio, Antonio Orlandi, Fellow, IEEE, and Giulio Antonini, Senior Member, IEEE
Abstract—This paper describes an industry-oriented approach
for the analysis of complex electronic systems. The typical con-
strains of an industry design flow such as limited time, limited
computing resources, and the use of standard/commercial soft-
ware tools are considered. The approach consists in partitioning
the system in several functional blocks and studying each block
separately. Different numerical techniques are employed, choos-
ing the more appropriate, for characterizing each chain blocks. At
the end, all the blocks are cascaded obtaining the overall system
performances. The approach is applied to a voltage supply chain
mounted on board of the SENTINEL 1-SAR satellite to verify the
integrity of the voltage pulse propagating from the source to the
high power amplifiers. The final results are validated by hardware
measurements.
Index Terms—Numerical simulations, power delivery network,
satellite, signal integrity, supply chain.
I. INTRODUCTION
T
ODAY, the trends of industry-driven processes are toward
the reduction of the time to market when starting the design
of a new product. A key issue in this process is the capability to
predict not only the functional behavior of the system but also
its performance in the presence of induced or self-generated
noise. This prediction must happen even before the construction
of the first prototype and it is entrusted to the electromagnetic
modeling. The complex electronic systems cannot be modeled
all at once [1]. This is either due to reasons related to the lim-
ited computational resources and/or because these systems can
present parts (or blocks) of different electrical nature: lumped
circuit, distributed circuit as transmission lines, 3-D assembly,
etc. The only feasible approach applicable into an industry de-
sign flow is the so-called “best-in-class” approach: each part of
the system is simulated and numerically tested by using the best
Manuscript received July 15, 2009; revised January 16, 2010 and February
25, 2010; accepted March 1, 2010. Date of publication April 1, 2010; date of
current version August 18, 2010.
R. Ferrauto is with the Altran Italia S.p.A., 00185 Rome, Italy (e-mail:
Roberto.Ferrauto@altran.it).
F. De Paulis, A. Orlandi, and G. Antonini are with the UAq EMC Laboratory,
Department of Electrical Engineering, University of L’Aquila, I-67040
L’Aquila, Italy (e-mail: francesco.depaulis@univaq.it; antonio.orlandi@
univaq.it; giulio.antonini@univaq.it).
E. Ippoliti, F. Vasarelli, and U. Di Marcantonio are with
the Thales Alenia Space Italy, I-67041 L’Aquila, Italy (e-mail:
franco.vasarelli@thalesaleniaspace.com; ernesto.ippoliti@thalesaleniaspace.
com; ulisse.dimarcantonio@thalesaleniaspace.com).
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.2010.2044885
technique to predict the required performances. These simula-
tion techniques can be different (circuit based, behavioral based,
3-D full-wave based, etc.) and carried out in different domains
(time and/or frequency). Then, the simulation of the complete
system should be carried out together gathering each single
component. This partitioning approach allows an easy identifi-
cation of the blocks responsible for any specification violation.
Hence, a more easy and quick solution of the problem can be
found and implemented. Another constrain to take into account
is that this analysis should be carried out by using commercial
software tools available in the design flow. This requirement
has advantages and disadvantages. The advantages are related
to the general high quality of these tools in terms of memory and
CPU resource management; the disadvantages are associated to
their low flexibility in exchange data toward other tools. The
aim of this paper is the description of a systematic approach
that fulfills all the previous requirements and constraints for the
electromagnetic modeling of a complex system. Different tech-
niques are chosen according to the characteristics of each single
block building the whole system. This systematic procedure is
summarized in the flow diagram of Fig. 1(a).
The system is partitioned in N blocks [2]–[4]; an electromag-
netic analysis is carried out for each block by using the most
suitable technique; the results, in terms of ports variables (scat-
tering parameters (S-parameters), impedance/admittance matri-
ces, etc.), are then cascaded to obtain the sought output. The
proposed procedure is applied to the voltage supply chain of
a high power amplifier (HPA) mounted on the board of the
SENTINEL 1-SAR satellite. A supply voltage pulse is driven
through this chain from the source to the amplifiers where the
pulse enables the transmitting stage. Any variation of this sup-
ply voltage pulse (magnitude, waveshape, time skew) can have
a significant impact on the overall system performances. In fact,
in satellite applications, any physical device should be reliably
designed not only for the stringent specifications and standards,
but also for the impossibility of performing any regular main-
tenance of the system. In this paper, the integrity of the voltage
pulse propagating from the voltage source to the input stage of
the HPA, which is activated by the pulse itself, is analyzed by
applying the proposed approach.
The structure of this paper is the following: Section II de-
scribes the physical blocks that build up the supply chain. Sec-
tion III describes the characteristics of the input voltage signal
and Section IV reports the relevant details of the circuit and
full-wave modeling of the previously introduced blocks. In this
section, the fulfillment of the block models to the passivity and
causality conditions are also discussed. Section V describes the
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