Methods for building polynomial device models for frequnecy domain nonlinear analysis
Timo E. Rahkonen, Janne P. Aikio
Abstract
Timo E. Rahkonen, Janne P. Aikio
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.
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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)