Accurate compact model extraction for on-chip coplanar waveguides

Author

Kim, Taeik ; Li, Xiaoyong ; Allstot, David J.

Author_Institution

Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA

Volume

4

fYear

2003

Abstract

Employing a novel ABCD matrix partitioning technique, the proposed method extracts an accurate frequency-dependent distributed circuit model for the broadband characteristics of coplanar waveguide transmission lines using either measured or simulated scattering parameters. A neural network with a training algorithm is then applied to predict CPW performance for a range of geometry sizes. The circuit model validated using EM (MOMENTUM) and circuit (HSPICE) simulations demonstrates good accuracy, high computational efficiency, and fast model development.

Keywords

CMOS integrated circuits; S-parameters; SPICE; coplanar waveguides; distributed parameter networks; field effect MMIC; integrated circuit modelling; matrix algebra; neural nets; ABCD matrix partitioning technique; CPW performance; EM simulations; HSPICE; MOMENTUM; RF CMOS components; accurate compact model extraction; broadband characteristics; circuit model; circuit simulations; computational efficiency; coplanar waveguide transmission lines; fast model development; frequency-dependent distributed circuit model; geometry sizes; heavily doped CMOS process; neural network; on-chip coplanar waveguides; scattering parameters; training algorithm; Circuit simulation; Computational modeling; Coplanar transmission lines; Coplanar waveguides; Distributed parameter circuits; Frequency measurement; Scattering parameters; Transmission line matrix methods; Transmission line measurements; Waveguide components;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on

Print_ISBN

0-7803-7761-3

Type

conf

DOI

10.1109/ISCAS.2003.1206177

Filename

1206177