Adaptive ANC System with Nonlinear Secondary Path Based on Recurrent Neural Network

• Autorzy: Falkiewicz J. , Okoński M. A. M. A. , Kustra G. G.
• Języki publikacji: EN

Abstrakty

EN

In this paper, the active noise control system based on an adaptively trained recurrent neural network (RNN) is proposed. In our research, we assume that secondary path is modelled by nonlinear transfer function, i.e. linear filter followed by a saturation nonlinearity. To compare commonly used filtered-X LMS (FXLMS) and filtered-X RLS (FXRLS) algorithms with the proposed RNN-based scheme, computer simulations are carried out. Results of experiments have shown that the adaptively trained recurrent neural network provides a significant improvement in an operation of the adaptive ANC systems in the steady-state in comparison with classically used FXLMS and FXRLS algorithms.

Słowa kluczowe

EN

adaptive ANC systems; recurrent neural network; adaptively trained feedback neural nets

• Wydawca: Wydawnictwa AGH
• Czasopismo: Mechanika / Akademia Górniczo-Hutnicza im. St. Staszica
• Rocznik: 2003
• Tom: T. 22, z. 3
• Strony: 263--270
• Opis fizyczny: Bibliogr. 4 poz., rys.

Twórcy

autor

Falkiewicz J.

• Institute of Electronic Systems, Warsaw University of Technology, Poland

autor

Okoński M. A. M. A.

• Institute of Electronic Systems, Warsaw University of Technology, Poland

autor

Kustra G. G.

• Institute of Radioelectronics, Warsaw Univeristy of Technology, Poland

Bibliografia

• [1] Costa M.H., Bermudez J.C., Bershad N.J.: Stochastic Analysis of the Filtered-X LMS Algorithm in Systems with Nonlinear Secondary Path. IEEE Transaction on Signal Processing, 50, 6,2002,1327-1342
• [2] Kuo S.M., Morgan D.R.: Active Noise Control: A Tutorial Review. Proceedings of the IEEE, 87, 6,1999,943-973
• [3] Nerrand O., Roussel-Ragot P., Personnaz L., Dreyfus G.: Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms. Neural Computations MIT, 5,1993,165-199
• [4] Haykin S.: Adaptive Filter Theory. New Jersey, Prentice Hall 1996