Accurate passivity-enforced macromodeling for RF circuits via iterative zero/pole update based on measurement data


Conference Paper

© 2015 IEEE. Passive macromodeling for RF circuit blocks is a critical task to facilitate efficient system-level simulation for large-scale RF systems (e.g., wireless transceivers). In this paper we propose a novel algorithm to find the optimal macromodel that minimizes the modeling error based on measurement data, while simultaneously guaranteeing passivity. The key idea is to attack the passive macromodeling problem by solving a sequence of convex semi-definite programming (SDP) problems. As such, the proposed method can iteratively find the optimal poles and zeros for macromodeling. Our experimental results with several commercial RF circuit examples demonstrate that the proposed macromodeling method reduces the modeling error by 1.31-2.74× over other conventional approaches.

Full Text

Duke Authors

Cited Authors

  • Wang, YC; Yin, S; Jun, M; Li, X; Pileggi, LT; Mukherjee, T; Negi, R

Published Date

  • January 1, 2015

Published In

  • 20th Asia and South Pacific Design Automation Conference, Asp Dac 2015

Start / End Page

  • 441 - 446

International Standard Book Number 13 (ISBN-13)

  • 9781479977925

Digital Object Identifier (DOI)

  • 10.1109/ASPDAC.2015.7059046

Citation Source

  • Scopus