Passive reduced order macromodeling using hamiltonian matrix pencil perturbation

In this paper, a method for obtaining a reduced order macromodel based on measured parameters is presented. Loewner Matrix based macromodeling may require a higher than optimal system order in order to preserve the passivity of the macromodel. In this paper, a modified order selection scheme, combined with the Hamiltonian Matrix Pencil perturbation methodology is used in order to obtain a reduced order passive Loewner Matrix based macromodel based on measured scattering parameters. The efficiency of the new approach is shown in the examples.