A new method is introduced for simulation of nonlinear transmission lines based on model-order reduction using the proper-orthogonal decomposition technique. An algorithm is presented for estimating the optimum order of the resulting reduced nonlinear macromodel ensuring its efficiency and accuracy. In contrast to previous publications, the order-estimation algorithm is integrated with the reduction technique leading to significant reduction in the computational cost associated with the generation of the reduced model.

Additional Metadata
Keywords False nearest neighbors (FNNs), macro-modeling, model-order estimation, nonlinear transmission lines (NLTLs), optimum order determination, parallel processing, periodically loaded coplanar waveguide (PLCPW), projection, Schottky diode
Persistent URL dx.doi.org/10.1109/TMTT.2016.2635642
Journal IEEE Transactions on Microwave Theory and Techniques
Citation
Nouri, B. (Behzad), Nakhla, M.S, & Achar, R. (2017). Efficient Simulation of Nonlinear Transmission Lines via Model-Order Reduction. IEEE Transactions on Microwave Theory and Techniques, 65(3), 673–683. doi:10.1109/TMTT.2016.2635642