Parameterized Model Order Reduction Techniques for Finite Element Based Full Wave Analysis

As operating frequencies increase full wave methods such as the finite element method (FEM) become necessary for the analysis of certain practical circuit structures. Such techniques result in very large systems of equations, and model order reduction (MOR) was proven to be very effective in combating such increased complexity. Using traditional MOR, one has to generate a new reduced model each time a design parameter is modified, thus significantly reducing the CPU efficiency. In this paper a parameterized MOR method based on multidimensional Krylov subspace is proposed for the FEM analysis of microwave systems, which generates parametric reduced order models that are valid over the desired parameter range without the need to redo the reduction. This results in significant CPU savings and enables applications such as optimization and design space exploration