Adaptive precompensation of Wiener systems

This article presents an adaptive precompensation technique for the Wiener system: a class of nonlinear systems that can be represented by the interconnection of a linear dynamic subsystem and a memoryless nonlinear subsystem. An adaptive algorithm for adjusting the parameters of the precompensator, structured by a Hammerstein model, is derived using the stochastic gradient method. The validity of the proposed algorithm is confirmed in a computer simulation by applying it to known Wiener systems.

[1]  Wlodzimierz Greblicki,et al.  Nonparametric identification of Wiener systems , 1992, IEEE Trans. Inf. Theory.

[2]  Yong Soo Cho,et al.  An adaptive nonlinear prefilter for compensation of distortion in nonlinear systems , 1998, IEEE Trans. Signal Process..

[3]  S.-Y. Mao,et al.  A test of nonlinear autoregressive models , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[4]  W. Martin Snelgrove,et al.  Adaptive linearization of a loudspeaker , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[5]  E. J. Powers,et al.  A digital technique to estimate second-order distortion using higher order coherence spectra , 1992, IEEE Trans. Signal Process..

[6]  V. J. Mathews.  Adaptive polynomial filters , 1991, IEEE Signal Processing Magazine.

[7]  Bernard Widrow,et al.  Adaptive Signal Processing , 1985 .

[8]  Sergio Benedetto,et al.  Nonlinear Equalization of Digital Satellite Channels , 1982, IEEE J. Sel. Areas Commun..

[9]  M. Schetzen,et al.  Nonlinear system modeling based on the Wiener theory , 1981, Proceedings of the IEEE.

[10]  Hikmet Sari,et al.  Transmission techniques for digital terrestrial TV broadcasting , 1995, IEEE Commun. Mag..