Efficient Statistical Analysis of Microwave Circuits using Decoupled Polynomial Chaos

被引：0
|
作者：
Nabavi, Seyed Ghavamoddin [1 ]
Gad, Emad [1 ]
Nakhla, Michel
Achar, Ram [2 ]
机构：
[1] Univ Ottawa, Sch Elect Engn & Comp Sci, Ottawa, ON K2J 0G4, Canada
[2] Carleton Univ, Dept Elect, Ottawa, ON K1S 5B6, Canada
来源：
2014 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS) | 2014年
关键词：
Statistical Analysis; Uncertainity Quantification; Circuit Analysis; Polynomial Chaos;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页数：4
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