A novel algorithm for efficient simulation of nonlinear transmission lines for RF applications via model order reduction

This paper presents a new approach for modeling and simulation of Nonlinear Transmission Lines (NLTLs). The proposed method is based on generating compact reduced-order macromodels (ROM) of nonlinear transmission lines and embedding them in a system level simulation. Estimation of an optimal order for the resulting reduced models is crucial to ensure the efficiency of the simulation. In the proposed method, a systematic algorithm for determination of a minimum acceptable order for reduced models of NLTLs is developed. Numerical example demonstrating the validity and efficiency of the proposed method has also been presented.