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.

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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
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