Advanced Parametric Modeling and Yield Optimization Approaches for Microwave Passive Components

Abstract

Parametric modeling and yield optimization techniques play important roles in electromagnetic (EM)-based microwave component design. In the first part of this thesis, we propose a novel training approach for parametric modeling of microwave passive components with respect to changes in geometrical parameters using matrix Padé via Lanczos (MPVL) and EM sensitivities. In the proposed approach, the EM responses of passive components versus frequency are represented by polezero-gain transfer functions. The relationships between the poles/zeros/gain in the transfer function and geometrical variables are learnt by neural networks. A novel