Model order reduction for nonlinear macromodeling of RF circuits

The simulation of Radio Frequency circuits can be very CPU expensive due to the large number of equations present as well as the density of the Jacobian matrix. This problem becomes even more pronounced when simulating a system containing multiple circuits. In this paper a model order reduction method is proposed for obtaining a reduced order nonlinear macromodel for an RF circuit block. This macromodel can then be efficiently used in an overall system simulation.