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.
|Keywords||False Nearest Neighbors, Macro-modeling, MOR, Nonlinear Transmission Line, Periodically Loaded Coplanar Waveguide, Schottky Diode|
|Conference||IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2015|
Nouri, B. (Behzad), Nakhla, M.S, & Achar, R. (2016). A novel algorithm for efficient simulation of nonlinear transmission lines for RF applications via model order reduction. In Proceedings of 2015 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2015. doi:10.1109/NEMO.2015.7415069