DocumentCode
2725389
Title
Test Signal Design and Analysis for Multi-Channel Identification
Author
Liu, Bo ; Zhao, Jun ; Qian, Jixin
Author_Institution
Inst. of Syst. Eng., Zhejiang Univ., Hangzhou
Volume
1
fYear
0
fDate
0-0 0
Firstpage
1888
Lastpage
1892
Abstract
This article studies several kinds of test signals which are suitable for system identification, introduces their characters separately, and makes different designs that aim at two common identification methods: correlation analysis method and least-squares method. In correlation analysis method, especially for MIMO system, making big progress upon traditional signal design method. It shortens the length of test signal after we make the improvement. In addition, for a binary inputs system, using the property of reverse repeat pseudo random binary sequence signal, we have special signal design. Finally, we got the result that generalized binary noise is a better signal than pseudo random binary sequence signal in least-squares method. Simulation results show the effectiveness
Keywords
MIMO systems; correlation methods; identification; least squares approximations; signal processing; MIMO system; correlation analysis; least-squares method; multichannel identification; system identification; test signal analysis; test signal design; Automation; Binary sequences; Intelligent control; MIMO; Signal analysis; Signal design; Signal processing; System identification; System testing; Systems engineering and theory; correlation analysis method; generalized binary noise; least-squares method; multivariable identification; pseudo random binary sequence;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1712683
Filename
1712683
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