DocumentCode :
3469892
Title :
A Novel Modeling Methodology for Silicon-based RF Components
Author :
Liu, Tao ; Zhang, Wenjun ; Yu, Zhiping
Author_Institution :
Inst. of Microelectron., Tsinghua Univ., Beijing
fYear :
2006
fDate :
Oct. 2006
Firstpage :
1392
Lastpage :
1394
Abstract :
A novel comprehensive and automatic wide-band artificial neural network (ANN)-based modeling methodology for radio-frequency (RF) components is presented. The methodology is applied to differential spiral inductors with various geometrical sizes. The established model is tested with 653 inductors and shows excellent accuracy over the frequency range of 1-20 GHz
Keywords :
inductors; integrated circuit modelling; neural nets; radiofrequency integrated circuits; silicon; 1 to 20 GHz; Si; artificial neural network based modeling; differential spiral inductors; silicon-based radio-frequency components; Artificial neural networks; Circuit simulation; Computational modeling; Data preprocessing; Equivalent circuits; Inductors; Radio frequency; Sampling methods; Scattering parameters; Spirals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Solid-State and Integrated Circuit Technology, 2006. ICSICT '06. 8th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
1-4244-0160-7
Electronic_ISBN :
1-4244-0161-5
Type :
conf
DOI :
10.1109/ICSICT.2006.306193
Filename :
4098419
Link To Document :
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