Worst-Case Optimization of a Digital Link for Wearable Electronics in a Stochastic Framework

Abstract

This paper demonstrates an optimization strategy for systems affected by uncertainties in the case of a textile interconnect line. Rather than simply conducting stochastic analysis at the end of the design process, tolerances are accounted for from the early stages of the flow. An unsupervised approach, used to describe the stochastic behavior of the line, is integrated within a heuristic optimization algorithm with the aim of selecting the optimal parameters of a passive equalizer.

Surrogate Eye Modeling for the Statistical Assessment of a Smart Textile Interconnect

“…1, which has been implemented and simulated in LTSPICE [7]. It consists of a differential data communication channel implemented by conductive copper wires weaved in a textile structure [8]. The link features a differential driver at the near end and its paired receiver at the far end.…”

Stochastic Time-Domain Mapping for Comprehensive Uncertainty Assessment in Eye Diagrams

“…1, which has been implemented and simulated in LTSPICE [26]. It consists of a differential data communication channel implemented by conductive copper wires weaved in a textile structure [27]. The flexible interconnect is described using the classic multiconductor transmission line theory and the per unit length parameters computed from the electrical and geometrical information of the structure [28], [29].…”