Abstract
Aiming at solving the blind discrete nonlinear system identification problem, a cyclostationarity-based blind identification method of nonlinear system is proposed. In order to turn the identification process with input into the process without input, the first-order statistical characteristics of cyclostationary input and the inverse nonlinear mapping of the Hammerstein-Wiener model are introduced. The paper describes the statistical characteristics of the input and the structure of Hammerstein-Wiener model, and then discusses the mechanism of blind identification algorithm. Simulation results demonstrate the effectiveness of this approach in solving a class of discrete nonlinear system blind identification.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abed-Meraim, K., Qiu, W.Z., Hua, Y.B.: Blind system identification. Proceedings of IEEE 8(8), 1310–1322 (1998)
Tan, H.Z., Chow, T.W.S.: Blind and total identification of ARMA mode in higher order cumulants domain. IEEE Transactions on Industrial Electronics 46(6), 1233–1240 (1999)
Lathauwer, L.D., Castaing, J., Cardoso, J.F.: Fourth-Order Cumulant-based blind identification of underdetermined mixtures. IEEE Transactions on Signal Processing 55(6), 2965–2973 (2007)
Hua, Y.B., Abed-Meraim, K., Wax, M.: Blind system identification using minimum noise subspace. IEEE Transactions on Signal Processing 45(3), 770–773 (1997)
Bai, E.W.: A blind approach to the Hammerstein-Wiener model identification. Automatica 38, 967–979 (2002)
Wang, D.Z., Song, M.: For spread spectrum communication acousto-optic cyclostationary signal processing techniques. Optical Technology 32(3), 455–457 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Teng, H., Ruan, W. (2010). Algorithm and Simulation Research for Blind Nonlinear System Identification. In: Zeng, Z., Wang, J. (eds) Advances in Neural Network Research and Applications. Lecture Notes in Electrical Engineering, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12990-2_45
Download citation
DOI: https://doi.org/10.1007/978-3-642-12990-2_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12989-6
Online ISBN: 978-3-642-12990-2
eBook Packages: EngineeringEngineering (R0)