TY - GEN
T1 - Comparison of techniques for model order reduction of frequency-dependent networks
AU - Nguyen, Thong
AU - Schutt-Aine, Jose
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/4/5
Y1 - 2017/4/5
N2 - The constant increase in complexity and functionality of integrated circuit (IC) systems has resulted in large-scale systems that require advanced techniques for simulation at the verification stage. Signal integrity analysis has become more crucial in helping reduce time and production manufacturing costs. This is particularly critical for high-speed networks with transmission-line where crosstalk, skin effect, dispersion and jitter, often lead to malfunction and faulty products. From a circuit analysis perspective, the dynamical order of such systems is in principle infinity. Moreover, the number of ports of such systems can be in the hundreds which makes the analysis of such networks prohibitive. Model order reduction (MOR) has been used not only to reduce the size of the problem but to extract an optimum, relatively smaller system or macro-model for time-domain simulations. This paper explores two of the currently most popular techniques for performing MOR, namely, the Vector Fitting and Loewner Matrix methods. A comparison between the two methods is drawn and some examples are illustrated.
AB - The constant increase in complexity and functionality of integrated circuit (IC) systems has resulted in large-scale systems that require advanced techniques for simulation at the verification stage. Signal integrity analysis has become more crucial in helping reduce time and production manufacturing costs. This is particularly critical for high-speed networks with transmission-line where crosstalk, skin effect, dispersion and jitter, often lead to malfunction and faulty products. From a circuit analysis perspective, the dynamical order of such systems is in principle infinity. Moreover, the number of ports of such systems can be in the hundreds which makes the analysis of such networks prohibitive. Model order reduction (MOR) has been used not only to reduce the size of the problem but to extract an optimum, relatively smaller system or macro-model for time-domain simulations. This paper explores two of the currently most popular techniques for performing MOR, namely, the Vector Fitting and Loewner Matrix methods. A comparison between the two methods is drawn and some examples are illustrated.
KW - Convolution
KW - Loewner Matrix
KW - Macromodel
KW - Scattering Parameters
KW - Vector Fitting
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U2 - 10.1109/EDAPS.2016.7893133
DO - 10.1109/EDAPS.2016.7893133
M3 - Conference contribution
AN - SCOPUS:85018443784
T3 - 2016 IEEE Electrical Design of Advanced Packaging and Systems Symposium, EDAPS 2016
SP - 87
EP - 89
BT - 2016 IEEE Electrical Design of Advanced Packaging and Systems Symposium, EDAPS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Electrical Design of Advanced Packaging and Systems Symposium, EDAPS 2016
Y2 - 14 December 2016 through 16 December 2016
ER -