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Non-Linear System Identification of a Broadband Subscriber Line Interface Circuitry Using the Volterra Approach

Koeppl, H. and Paoli, G. (2002):
Non-Linear System Identification of a Broadband Subscriber Line Interface Circuitry Using the Volterra Approach.
In: Mathematics in Signal Processing V, Oxford University Press, V, (Chapter 13), [Online-Edition: http://ukcatalogue.oup.com/product/9780198507345.do],
[Article]

Abstract

Making use of the Volterra approach, black box modeling is applied to a large scale analog circuitry for an ADSL (asymmetric digital subscriber line) central o#ce application. Reducing the number of free parameters through special assumptions on the Volterra kernels, one ends up with the Hammerstein model. Taking the first few taps of the Volterra kernels and approximating the last taps through Hammerstein kernels, the Volterra-Hammerstein model is obtained. The parametrization of these models is an inverse problem and leads to an ill-conditioned linear equations system, thus regularization techniques are used. Discrete multi tones (DMT) serve as excitation signals. Data acquisition is done by the analog network simulator SABER # . Emphasis was put on the accuracy of the inter-modulation products, described by a generalized signal to noise ratio. The Hammerstein and the Volterra-Hammerstein models are compared with each other and with meassurements from the laboratory.

Item Type: Article
Erschienen: 2002
Creators: Koeppl, H. and Paoli, G.
Title: Non-Linear System Identification of a Broadband Subscriber Line Interface Circuitry Using the Volterra Approach
Language: English
Abstract:

Making use of the Volterra approach, black box modeling is applied to a large scale analog circuitry for an ADSL (asymmetric digital subscriber line) central o#ce application. Reducing the number of free parameters through special assumptions on the Volterra kernels, one ends up with the Hammerstein model. Taking the first few taps of the Volterra kernels and approximating the last taps through Hammerstein kernels, the Volterra-Hammerstein model is obtained. The parametrization of these models is an inverse problem and leads to an ill-conditioned linear equations system, thus regularization techniques are used. Discrete multi tones (DMT) serve as excitation signals. Data acquisition is done by the analog network simulator SABER # . Emphasis was put on the accuracy of the inter-modulation products, described by a generalized signal to noise ratio. The Hammerstein and the Volterra-Hammerstein models are compared with each other and with meassurements from the laboratory.

Journal or Publication Title: Mathematics in Signal Processing V
Volume: V
Number: Chapter 13
Place of Publication: Warwick, United Kingdom
Publisher: Oxford University Press
Divisions: 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems
18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
Event Title: Proc. of th 5th International IMA Conference on Mathematics in Signal Processing
Date Deposited: 27 May 2015 10:25
Official URL: http://ukcatalogue.oup.com/product/9780198507345.do
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