This paper presents a new approach to statistically characterize the variability of intermodulation distortion of nonlinear RF circuits in response to uncertainty in the design parameters. The proposed approach is built upon two ideas. The first idea is a moment-based computation of the Volterra Kernels. The second idea is derived from the recently reported decoupled formulation of the Hermite-based Polynomial Chaos. The proposed approach enables computing statistical information on the IIP3 at a much lower CPU cost than the traditional MC approach and with comparable accuracy.

Additional Metadata
Keywords Nonlinear Distortion, Polynomial Chaos, Statistical Analysis, Uncertainty Quantification
Persistent URL dx.doi.org/10.1109/NEMO.2015.7415039
Conference IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2015
Citation
Nabavi, S.G. (Seyed Ghavamoddin), Gad, E. (Emad), Nakhla, M. (Michel), & Achar, R. (2016). Statistical analysis of intermodulation distortion in RF circuits using decoupled polynomial chaos. In Proceedings of 2015 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2015. doi:10.1109/NEMO.2015.7415039