Hybrid Volterra and Hammerstein modelling of nonlinear acoustic systems
- This paper studies suitable models for the identification of nonlinear acoustic systems. A cascaded structure of nonlinear filters is proposed that contains several parallel branches, consisting of polynomial functions followed by a linear filter for each order of nonlinearity. The second order of nonlinearity is additionally modelled with a parallel branch, containing a Volterra filter. These are followed by a long linear FIR filter that is able to model the room acoustics. The model is applied to the identification of a tube power amplifier feeding a guitar loudspeaker cabinet in an acoustic room. The adaptive identification is performed by the normalized least mean square (NLMS) algorithm. Compared with a generalized polynomial Hammerstein (GPH) model, the accuracy in modelling the dedicated real world system can be improved to a greater extend than increasing the order of nonlinearity in the GPH model.
Author: | Simon GrimmGND, Jürgen FreudenbergerORCiDGND |
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URL: | http://pub.dega-akustik.de/DAGA_2016/data/index.html |
ISBN: | 978-3-939296-10-2 |
Parent Title (English): | Fortschritte der Akustik : DAGA 2016, Aachen : 14.-17. März 2016 : 42. Jahrestagung für Akustik, Tagungsband |
Publisher: | Dt. Gesellschaft für Akustik e.V. |
Place of publication: | Berlin |
Document Type: | Conference Proceeding |
Language: | English |
Year of Publication: | 2016 |
Release Date: | 2018/11/21 |
First Page: | 1167 |
Last Page: | 1170 |
Open Access?: | Ja |
Relevance: | Keine peer reviewed Publikation (Wissenschaftlicher Artikel und Aufsatz, Proceeding, Artikel in Tagungsband) |