Reduced-order modeling for RF/microwave CAD

The principles for model order reduction of large linear problems in RF/microwave CAD applications are presented. An alternative practical approach for the creation of projection subspaces is proposed and compared to moment matching methods. Computational results show that for the same order of reduction the proposed approach accurately capture the solution behavior in a much wider frequency range then the standard moment matching Krylov subspace methods.