• DocumentCode
    592641
  • Title

    Optimal right inverse of flat rectangular MIMO system with individual channel power constraints

  • Author

    Shenpeng Li ; Jingxin Zhang

  • Author_Institution
    Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, VIC, Australia
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    3839
  • Lastpage
    3844
  • Abstract
    This paper is concerned with finding the right inverse for the discrete time systems with flat rectangular transfer function matrix and individual channel power constraints. Such problem arises from various areas in control, signal processing and telecommunications. The difficulty of the problem stems from the complexity in obtaining a convex expression of the individual channel power constraints in the state space. This paper solves this problem by converting the constraints to nonlinear matrix inequalities and then linear matrix inequalities, and derives an effective method for computing the optimal right inverse system that simultaneously maximizes the gain coefficient and satisfies the individual channel power constraints. An application example is presented to show the effectiveness and advantage of the derived method and its usefulness in solving real application problems.
  • Keywords
    MIMO systems; discrete time systems; linear matrix inequalities; optimal systems; transfer function matrices; LMI; convex expression; discrete time systems; flat rectangular MIMO system; gain coefficient; individual channel power constraints; linear matrix inequalities; nonlinear matrix inequalities; optimal right inverse system; real application problems; signal processing; telecommunications; transfer function matrix; Linear matrix inequalities; MIMO; Optimization; Power generation; Signal to noise ratio; Transfer functions; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6427036
  • Filename
    6427036