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RF transceiver parameter identification using regressive models

Auteur(s) : R. Khereddine, E. Simeu, S. Mir

Doc. Source: International Conference on Design and Technology of Integrated Systems (DTIS’08)

Publisher : IEEE

Pages : 166

Doi : 10.1109/DTIS.2008.4540208

In this paper, we consider the nonlinear system modelling problem for on-chip testing of embedded mixed-signal systems. Behavioural modelling is proposed to characterize RF transceiver, in terms of input and output signals using simplified mathematical expressions. A Situation-Dependent AutoRegressive model with exogenous variable (SDARX) is introduced to approximate the conventional Nonlinear-ARX (NARX). The parameter search space is divided into a linear weight subspace and the nonlinear parameter subspace. A nonlinear parameter estimation strategy combines the Levenberg-Marquardt method (LMM) for nonlinear parameter optimization and the least- square method (LSM) for linear parameter estimation.