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