• DocumentCode
    60734
  • Title

    Deterministic Blind Identification of IIR Systems With Output-Switching Operations

  • Author

    Chengpu Yu ; Lihua Xie ; Cishen Zhang

  • Author_Institution
    Centre for E-City, Nangyang Technol. Univ., Singapore, Singapore
  • Volume
    62
  • Issue
    7
  • fYear
    2014
  • fDate
    1-Apr-14
  • Firstpage
    1740
  • Lastpage
    1749
  • Abstract
    In this paper, a deterministic blind identification approach is proposed for linear output-switching systems, which are modeled by multiple infinite impulse-response (IIR) dynamic functions. By adopting a new over-sampling strategy, the concerned single-input-single-output (SISO) output-switching system is equivalently transformed into a time-invariant multi- input-multi-output (MIMO) system. Further, by exploring the mutual relations among the multiple inputs, the time-invariant MIMO system model and subsequently the output-switching system model are identified uniquely up to a scalar constant using the proposed identification approach. Sufficient identifiability conditions are provided for output-switching systems and numerical simulations are carried out to validate the proposed approach.
  • Keywords
    IIR filters; MIMO communication; IIR dynamic functions; IIR systems; deterministic blind identification approach; infinite impulse-response; linear output-switching systems; numerical simulations; output-switching operations; output-switching system model; single-input-single-output system; time-invariant MIMO system model; time-invariant multiinput-multioutput system; Finite impulse response filters; MIMO; Mathematical model; Polynomials; Time-varying systems; Transfer functions; Vectors; Blind identification; linear output-switching system; over-sampling operation; polyphase decomposition;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2014.2300061
  • Filename
    6712161