2006•Unpublished venueRequires access

Methods for building polynomial device models for frequnecy domain nonlinear analysis

Timo E. Rahkonen, Janne P. Aikio

Open publisher page 2 citations

Abstract

This paper reviews the needs for polynomial device models and compares six different model fitting techniques that perform a least square error type polynomial fitting either in the I-V or spectrum domain. Fitting the model separately for each amplitude level a 3rd-degree model is accurate within a couple of dBs even in highly nonlinear operating mode. However, the choice of the fitting method affects the fitting results and hence the simulation accuracy.

About this research paper

What this paper is about

This paper reviews the needs for polynomial device models and compares six different model fitting techniques that perform a least square error type polynomial fitting either in the I-V or spectrum domain. Fitting the model separately for each amplitude level a 3rd-degree model is accurate within a couple of dBs even in highly nonlinear operating mode. However, the choice of the fitting method affects the fitting results and hence the simulation accuracy.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper reviews the needs for polynomial device models and compares six different model fitting techniques that perform a least square error type polynomial fitting either in the I-V or spectrum domain. Fitting the model separately for each amplitude level a 3rd-degree model is accurate within a couple of dBs even in highly nonlinear operating mode. However, the choice of the fitting method affects the fitting results and hence the simulation accuracy.

Key concepts: Polynomial and rational function modeling, Polynomial, Nonlinear system, Curve fitting, Frequency domain, Computer science, Algorithm, Mode (computer interface)

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