• 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