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

被引：0

作者：

Yaguee-Jimenez, Virginia ^{[1
]}

Luis Blanco-Murillo, Jose ^{[1
]}

Javier Casajus-Quiros, Francisco ^{[1
]}

机构：

[1] Univ Politecn Madrid, ETSI Telecomunicac, E-28040 Madrid, Spain

来源：

SIGNAL PROCESSING | 2015年 / 115卷

关键词：

Wiener system; Volterra kernel representation; MLS-based identification; Volterra coefficients' correction; VOLTERRA SERIES; SEQUENCES; INPUTS; MODELS;

D O I：

10.1016/j.sigpro.2015.03.014

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：176 / 194

页数：19