Blind identification of second order Hammerstein series

Authors:
P. Koukoulas;N. Kalouptsidis
Affiliations:
Division of Communications and Signal Processing, Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, TYPA Buildings, Athens 15771, Greece;Division of Communications and Signal Processing, Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, TYPA Buildings, Athens 15771, Greece
Venue:
Signal Processing
Year:
2003

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Abstract

Blind identification of second order Hammerstein series is considered in this paper. The output cumulants up to order 5 are used to determine the Volterra kernels and the system orders, when the input is a stationary zero mean Gaussian white stochastic process. Both infinite and finite extent kernels are considered. The algorithm is validated by simulations.