An automatic parameter extraction and scalable modeling method for transformers in RF circuit

Author

Jian Yao ; Zuochang Ye ; Yan Wang

Author_Institution

Tsinghua Univ., Beijing, China

fYear

2013

fDate

2-4 June 2013

Firstpage

57

Lastpage

60

Abstract

Summary form only given. In this paper, an automatic parameter extraction and scalable modeling method for transformer with 2π-based equivalent circuit-topology is established for the first time. In contrast to traditional optimization extraction, the adaptive boundary compression technique, combining a new correlated parameter extraction method with the neighboring geometry parameters, is introduced. The method is validated by 42 industry transformers and both accuracy and scalability have been achieved.

Keywords

equivalent circuits; radiofrequency integrated circuits; transformers; 2π-based equivalent circuit-topology; RF circuit; adaptive boundary compression; automatic parameter extraction; correlated parameter extraction method; neighboring geometry parameter; optimization extraction; scalable modeling method; transformer; Accuracy; Couplings; Geometry; Integrated circuit modeling; Metals; Optimization; Parameter extraction; Scalable compact model; optimization; parameter extraction; transformer;

fLanguage

English

Publisher

ieee

Conference_Titel

Radio Frequency Integrated Circuits Symposium (RFIC), 2013 IEEE

Conference_Location

Seattle, WA

ISSN

1529-2517

Print_ISBN

978-1-4673-6059-3

Type

conf

DOI

10.1109/RFIC.2013.6569521

Filename

6569521