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.

Additional Metadata
Keywords False Nearest Neighbors, Macro-modeling, MOR, Nonlinear Transmission Line, Periodically Loaded Coplanar Waveguide, Schottky Diode
Persistent URL dx.doi.org/10.1109/NEMO.2015.7415069
Conference IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2015
Citation
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