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IDENTIFICATION AND PREDISTORTION FOR A CLASS OF NONLINEAR SYSTEMS
Lianming Sun* Akira Sano**
* Department of Information and Media Sciences
Faculty of Environmental Engineering, The University of Kitakyushu
1-1 Hibikino, Wakamatsu-ku, Kitakyushu 808-0135, Japan
** Department of System Design Engineering, Keio University
3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
The identification algorithm of Wiener-Hammerstein nonlinear model is proposed in the paper. When the nonlinearity in the Wiener-Hammerstein model is approximated by polynomial or spline function, the identification algorithms can be implemented iteratively, and the compensator for the nonlinear distortion is given by using the estimated Wiener-Hammerstein model and its inverse. A numerical simulation example of the power amplifier with nonlinearity demonstrates the effectiveness of the proposed method.
Keywords: Identification, nonlinear models, Wiener-Hammerstein model, nonlinearity, parameter estimation, polynomials, splines
Session slot T-We-M21: Posters of Modelling, Identification and Discrete Systems/Area code 3a : Modelling, Identification and Signal Processing
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