SSP'05 -- Proceedings

	IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

Information regarding the paper

Title

Robustness Analysis Of A Gradient Identification Method For A Nonlinear Wiener System

Author(s)

Ernst Aschbacher	Institute of Communications and Radio-Frequency Eng., Vienna University of Technology
Markus Rupp	Institute of Communications and Radio-Frequency Eng., Vienna University of Technology

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Abstract

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 nonlinearity. 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.