DocumentCode :
356011
Title :
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
Link To Document :
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