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Robust identification of an L-N-L system

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

A gradient-type algorithm for the parametric identification of a nonlinear structure (L-N-L), comprising of a linear FIR filter in front of a set of nonlinear functions is investigated with respect to its robustness. The set of nonlinear functions is represented by a weighted sum of basis functions. Specifically, a feedback structure, describing the update-part of the adaptive algorithm, is developed. Using the small gain theorem, the stability of this feed-back structure and thus the robustness of the adaptive algorithm is investigated. Step-size conditions for local and global convergence are presented. As an application example, this structure is utilized to model a nonlinear power amplifier for mobile communications.

Published in:

Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on  (Volume:2 )

Date of Conference:

9-12 Nov. 2003