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
Link To Document :
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