DocumentCode
629917
Title
Expansion of MIMO ARX model on Laguerre orthonormal bases
Author
El Anes, Amani ; Bouzrara, Kais ; Garna, Tarek ; Messaoud, Hassani
Author_Institution
Unite de Rech. Autom. Traitement de signal et Image (ATSI), Univ. de Monastir, Monastir, Tunisia
fYear
2013
fDate
21-23 March 2013
Firstpage
1
Lastpage
6
Abstract
In this paper, we propose a new dynamic linear MIMO system representation by using discrete-time MIMO AutoRegressive with eXogenous input (ARX) model. To provide a reduced complexity model, each polynomial function of the MIMO ARX model associated to the inputs and to the outputs is expanded on independent Laguerre orthonormal basis to develop a new black-box linear MIMO ARX-Laguerre model. This reduction is ensured once the poles characterising each Laguerre orthonormal basis are set to their optimal values. Simulation results show the effectiveness of the proposed modeling method.
Keywords
MIMO communication; autoregressive processes; communication complexity; optimisation; polynomials; Laguerre orthonormal bases; MIMO ARX model; black-box linear MIMO ARX-Laguerre model; discrete-time MIMO autoregressive; dynamic linear MIMO system representation; exogenous input model; optimal values; polynomial function; reduced complexity model; Atmospheric modeling; Biological system modeling; Complexity theory; MIMO; Mathematical model; Polynomials; Vectors; Independent Laguerre basis; MIMO ARX model; MIMO ARX-Laguerre model; Pole optimisation;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering and Software Applications (ICEESA), 2013 International Conference on
Conference_Location
Hammamet
Print_ISBN
978-1-4673-6302-0
Type
conf
DOI
10.1109/ICEESA.2013.6578403
Filename
6578403
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