Fast em modeling exploiting shape-preserving response prediction and space mapping

We present a low-cost modeling methodology for microwave structures exploiting low/high-fidelity electromagnetic (EM) simulations, shape-preserving response prediction (SPRP)/generalized shape-preserving response prediction (GSPRP), and space mapping (SM). Our approach is a two-step process. In step 1, a coarse model is constructed from low-fidelity (coarse discretization) EM simulation data by means of a recently developed SPRP/GSPRP technique. A comparison between the SPRP and GSPRP methods is described. In step 2, the coarse model is enhanced by SM using a fine model (high-fidelity EM simulations). We summarize the substeps in each step of the proposed algorithm and illustrate them graphically. We compare our proposed method with relevant benchmark techniques. Our approach is demonstrated by using two microstrip filter examples. The results and efficiency of our approach are compared with the benchmark techniques, indicating substantial accuracy improvement for comparable training set size. Applications for design optimization are also discussed.