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.

Additional Metadata
Keywords Circuit Analysis, Polynomial Chaos, Statistical Analysis, Uncertainty Quantification
Persistent URL dx.doi.org/10.1109/MWSYM.2014.6848310
Conference 2014 IEEE MTT-S International Microwave Symposium, IMS 2014
Citation
Nabavi, S.G. (Seyed Ghavamoddin), Gad, E. (Emad), Nakhla, M.S, & Achar, R. (2014). Efficient statistical analysis of microwave circuits using decoupled polynomial chaos. In IEEE MTT-S International Microwave Symposium Digest. doi:10.1109/MWSYM.2014.6848310