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

Authors :
Hung-Chi Han
Antonio D'Amico
Christian Enz
Source :
IEEE Open Journal of Circuits and Systems, Vol 3, Pp 162-167 (2022)
Publication Year :
2022
Publisher :
IEEE, 2022.

Abstract

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.

Details

Language :
English
ISSN :
26441225
Volume :
3
Database :
Directory of Open Access Journals
Journal :
IEEE Open Journal of Circuits and Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.16904d3e89844143a852305da5f51eb6
Document Type :
article
Full Text :
https://doi.org/10.1109/OJCAS.2022.3179046