IEEE Open Journal of Circuits and Systems (Jan 2022)

SEKV-E: Parameter Extractor of Simplified EKV <italic>I</italic>-<italic>V</italic> Model for Low-Power Analog Circuits

  • Hung-Chi Han,
  • Antonio D'Amico,
  • Christian Enz

DOI
https://doi.org/10.1109/OJCAS.2022.3179046
Journal volume & issue
Vol. 3
pp. 162 – 167

Abstract

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This paper presents the open-source Python-based parameter extractor (SEKV-E) for the simplified EKV (sEKV) model, which enables the modern low-power circuit designs with the inversion coefficient design methodology. The tool extracts the essential sEKV parameters automatically from the given $I$ - $V$ curves using the direct extraction and the multi-stage optimization process. It also handles the overfitting issue because of non-linear least squares. Moreover, this work demonstrates the SEKV-E as a universal tool by widely applying it to different silicon technologies, temperatures, dimensions, and back-gate voltages.

Keywords