DocumentCode :
171040
Title :
Efficient statistical analysis of microwave circuits using decoupled polynomial chaos
Author :
Nabavi, Seyed Ghavamoddin ; Gad, Emad ; Nakhla, Michel ; Achar, Ramachandra
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Univ. of Ottawa, Ottawa, ON, Canada
fYear :
2014
fDate :
1-6 June 2014
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a new approach to statistically characterize the variability of the steady-state analysis which results due to uncertainty in the design parameters. The new approach is based on the concept of Polynomial Chaos (PC). However, unlike the traditional PC, the proposed approach adopts a new mathematical formulation that decouples the PC problem into several problems with smaller size that can be analyzed much more efficiently.
Keywords :
chaos; microwave circuits; polynomials; statistical analysis; PC; decoupled polynomial chaos; design parameters; mathematical formulation; microwave circuits; statistical analysis; steady-state analysis; Chaos; Gold; Integrated circuits; Jacobian matrices; Standards; Circuit Analysis; Polynomial Chaos; Statistical Analysis; Uncertainty Quantification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave Symposium (IMS), 2014 IEEE MTT-S International
Conference_Location :
Tampa, FL
Type :
conf
DOI :
10.1109/MWSYM.2014.6848310
Filename :
6848310
Link To Document :
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