Microwave structure characterization by a combination of FDTD and system identification methods

Microwave structure is characterized by application of the system identification (SI) technique to the finite-difference-time-domain (FDTD) algorithm. The parameters of a deterministic autoregressive moving-average model (ARMA) are computed recursively such that the model output matches the FDTD simulation. The ARMA model parameter convergence is rapid, and provides savings in the computation time.<
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