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Robustness analysis of a gradient indentification method for a nonlinear wiener system

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2 Author(s)
E. Aschbacher ; Inst. of Commun. & Radio-Frequency Eng., Vienna Univ. of Technol. ; M. Rupp

The gradient identification of the linear filter part of a nonlinear Wiener system with unknown output non-linearity is investigated with respect to robustness in a deterministic sense. In order to estimate accurately the linear filter coefficients, an adaptive nonlinear filter is placed at the output of the Wiener system which compensates the output non-linearity. Therefore, two adaptive algorithms work simultaneously. Local and global passivity relations are derived from which information on the robustness of the algorithm can be extracted

Published in:

IEEE/SP 13th Workshop on Statistical Signal Processing, 2005

Date of Conference:

17-20 July 2005