Model-based parameter estimation (MBPE) for metallic photonic crystal filters

An efficient method for the accurate computation of the response of photonic crystal filters is obtained when model-based parameter estimation (MBPE) is combined with accurate field solvers. In this paper, MBPE is combined with MMP and MAS and the results are compared with results obtained from a commercial field solver. When metals are present in photonic crystal filters, strong material dispersion at optical frequencies causes nonlinearity of the filter response. It is demonstrated that MBPE is still useful although it is originally designed for linear systems.