학술논문

PASSOS: Passive Approximation Through Sum-of-Squares Orthogonal Rational Functions
Document Type
Periodical
Source
IEEE Transactions on Electromagnetic Compatibility IEEE Trans. Electromagn. Compat. Electromagnetic Compatibility, IEEE Transactions on. 65(2):555-563 Apr, 2023
Subject
Fields, Waves and Electromagnetics
Engineered Materials, Dielectrics and Plasmas
Symmetric matrices
Impedance
State-space methods
Admittance
Transmission line matrix methods
Transfer functions
Perturbation methods
Macromodeling
passivity
rational function
sum-of-squares (SOS)
stability
transfer function
vector fitting
Language
ISSN
0018-9375
1558-187X
Abstract
Signal and power integrity design in the time domain requires equivalent circuit models for interconnects and packages, whose descriptions may only be available as tabulated impedance or admittance parameters. Accurate models for these components should maintain their physical properties including causality, stability, and passivity. Sum-of-squares (SOS) polynomials, which are guaranteed to be non-negative, can be used to address the problem of generating passive scalar models, such as driving point impedances or admittances, based on an existing causal, stable, but nonpassive model. However, the poor conditioning of a monomial basis in SOS constraints prevents large-order modeling. In this article, we expand the SOS framework to reciprocal multiport admittance or impedance network parameters by introducing a methodology based on SOS matrices. In addition, orthogonalized rational functions are incorporated to solve the conditioning problem by embedding the denominator polynomial in the basis.