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SEKV-E: Parameter Extractor of Simplified EKV I-V Model for Low-Power Analog Circuits
Author(s) -
Hung-Chi Han,
Antonio D'Amico,
Christian Enz
Publication year - 2022
Publication title -
ieee open journal of circuits and systems
Language(s) - English
Resource type - Journals
ISSN - 2644-1225
DOI - 10.1109/ojcas.2022.3179046
Subject(s) - components, circuits, devices and systems
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.

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