CAD techniques for robust RF and wireless IC design

Author

Swidzinski, J.F. ; Keramat, M. ; Chang, K.

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

Volume

1

fYear

1999

fDate

1999

Firstpage

68

Abstract

Statistical CAD methodology for wireless RF IC´s is presented. Orthogonal-Array design of experiments screens and quantifies the effects of parameter variations on circuit performance. Latin Hypercube Sampling, Maximally Flat Quadratic Interpolation (MFQI), and Group Method of Data Handling (GMDH) algorithms create performance approximation models. Models are used in optimization which optimize and minimize design variability. 2.4 GHz LNA is utilized to demonstrate the viability of the methodology

Keywords

circuit CAD; circuit optimisation; design of experiments; integrated circuit design; radio equipment; telecommunication computing; 2.4 GHz; LNA; Latin hypercube sampling algorithm; approximation model; circuit optimization; group method of data handling algorithm; maximally flat quadratic interpolation algorithm; orthogonal-array design of experiments; parameter screening; statistical CAD; wireless RF IC design; Circuit optimization; Data handling; Design automation; Design optimization; Hypercubes; Interpolation; Radio frequency; Radiofrequency integrated circuits; Robustness; Sampling methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1999. 42nd Midwest Symposium on

Conference_Location

Las Cruces, NM

Print_ISBN

0-7803-5491-5

Type

conf

DOI

10.1109/MWSCAS.1999.867211

Filename

867211