Efficient Uncertainty Quantification of Stripline Pulse Response using Singular Value Decomposition and Delay Extraction

This paper demonstrates the use of data post-processing methods with stochastic collocation, an efficient alternative to Monte Carlo sampling, for transient response parametrization in electronic design. This method is applied to find the statistics of the broadband voltage response of a 50Ω terminated stripline with uncertain width, length, and per-mittivity. Collocation results with post-processing are compared against that of Monte Carlo showing greater accuracy for a low computational budget.