Comparison of Three Macromodeling Methods

The Vector Fitting (VF) and Loewner Matrix (LM) are two popular macromodeling methods and are implemented in many commercial tools. Recently, a new approach called Orthogonal Rational Approximation (ORA) has been proposed. This paper aims to compare the performance of ORA against VF and LM. The comparison will focus on execution time, error with respect to the original data, and order of the rational model (the number of poles). The objective is to establish guidelines for selecting the more efficient macromodeling method based on the characteristics of the given dataset.