Efficient projection based macromodel for interconnect networks

Abstract

This paper presents a projection based technique for obtaining reduced order macromodels of large multi-port interconnect networks. The proposed approach uses two levels of reduction and results in macromodels which are typically half the size of those obtained using traditional Krylov methods. The second level of reduction is based on singular value decomposition (SVD), is very simple to implement and can be easily extended to new applications. Examples are shown that demonstrate the accuracy and efficiency of this approach.