• DocumentCode
    747477
  • Title

    Design of Ternary Signals for MIMO Identification in the Presence of Noise and Nonlinear Distortion

  • Author

    Tan, Ai Hui ; Godfrey, Keith R. ; Barker, H. Anthony

  • Author_Institution
    Fac. of Eng., Multimedia Univ., Cyberjaya
  • Volume
    17
  • Issue
    4
  • fYear
    2009
  • fDate
    7/1/2009 12:00:00 AM
  • Firstpage
    926
  • Lastpage
    933
  • Abstract
    A new approach to designing sets of ternary periodic signals with different periods for multi-input multi-output system identification is described. The signals are pseudo-random signals with uniform nonzero harmonics, generated from Galois field GF(q), where q is a prime or a power of a prime. The signals are designed to be uncorrelated, so that effects of different inputs can be easily decoupled. However, correlated harmonics can be included if necessary, for applications in the identification of ill-conditioned processes. A design table is given for q les 31. An example is presented for the design of five uncorrelated signals with a common period N = 168 . Three of these signals are applied to identify the transfer function matrix as well as the singular values of a simulated distillation column. Results obtained are compared with those achieved using two alternative methods.
  • Keywords
    Galois fields; MIMO systems; signal processing; transfer function matrices; Galois field; MIMO identification; noise; nonlinear distortion; pseudo-random signals; simulated distillation column; ternary periodic signals; ternary signals; transfer function matrix; Frequency domain design; multi-input multi-output (MIMO) systems; pseudo-random signals; system identification; uncorrelated signals;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/TCST.2009.2012424
  • Filename
    4837771