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

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 <in...

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Bibliographic Details
Main Authors: Hung-Chi Han, Antonio D'Amico, Christian Enz
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of Circuits and Systems
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9896232/
Description
Summary: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 <inline-formula> <tex-math notation="LaTeX">$I$ </tex-math></inline-formula>-<inline-formula> <tex-math notation="LaTeX">$V$ </tex-math></inline-formula> 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.
ISSN:2644-1225