Compensation of biased excitation effects for MLS-based nonlinear systems' identification

Yagüe Jiménez, Virginia and Blanco Murillo, José Luis and Casajús Quirós, Francisco Javier (2015). Compensation of biased excitation effects for MLS-based nonlinear systems' identification. "Signal Processing", v. 115 ; pp. 176-194. ISSN 0165-1684. https://doi.org/10.1016/j.sigpro.2015.03.014.

Description

Title: Compensation of biased excitation effects for MLS-based nonlinear systems' identification
Author/s:
  • Yagüe Jiménez, Virginia
  • Blanco Murillo, José Luis
  • Casajús Quirós, Francisco Javier
Item Type: Article
Título de Revista/Publicación: Signal Processing
Date: October 2015
Volume: 115
Subjects:
Freetext Keywords: Wiener system; Volterra kernel representation; MLS-based identification; Volterra coefficients׳ correction
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

MLS-based identification of nonlinear systems is largely affected by deviations in the excitation signal amenable to the combined effect of DC-offset and an arbitrary gain. These induce orthogonality loss in the MLS filter bank output, thus invalidating the underlying identification construction. In this paper we present a correction algorithm to derive the corrected Volterra kernels from the biased estimations provided by the standard MLS-based procedure.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2012-38402-C04-1UnspecifiedUnspecifiedUnspecified

More information

Item ID: 40666
DC Identifier: http://oa.upm.es/40666/
OAI Identifier: oai:oa.upm.es:40666
DOI: 10.1016/j.sigpro.2015.03.014
Official URL: http://www.sciencedirect.com/science/article/pii/S0165168415001152
Deposited by: Memoria Investigacion
Deposited on: 06 Jun 2016 17:56
Last Modified: 01 Nov 2017 23:30
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