DocumentCode :
1999935
Title :
Accurate passivity-enforced macromodeling for RF circuits via iterative zero/pole update based on measurement data
Author :
Ying-Chih Wang ; Shihui Yin ; Minhee Jun ; Xin Li ; Pileggi, Lawrence T. ; Mukherjee, Tamal ; Negi, Rohit
Author_Institution :
Electr. & Comput. Eng. Dept., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2015
fDate :
19-22 Jan. 2015
Firstpage :
441
Lastpage :
446
Abstract :
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.
Keywords :
iterative methods; large-scale systems; poles and zeros; radiofrequency integrated circuits; RF circuit blocks; iterative zero/pole update; large-scale RF systems; massive macromodeling; measurement data; semi-definite programming; wireless transceivers; Approximation methods; Data models; Fitting; Frequency measurement; Poles and zeros; Radio frequency; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference (ASP-DAC), 2015 20th Asia and South Pacific
Conference_Location :
Chiba
Print_ISBN :
978-1-4799-7790-1
Type :
conf
DOI :
10.1109/ASPDAC.2015.7059046
Filename :
7059046
Link To Document :
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