• DocumentCode
    1554065
  • Title

    Geometrical characterizations of constant modulus receivers

  • Author

    Gu, Ming ; Tong, Lang

  • Author_Institution
    Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA
  • Volume
    47
  • Issue
    10
  • fYear
    1999
  • fDate
    10/1/1999 12:00:00 AM
  • Firstpage
    2745
  • Lastpage
    2756
  • Abstract
    Convergence properties of the constant modulus (CM) and the Shalvi-Weinstein (SW) algorithms in the presence of noise remain largely unknown. A new geometrical approach to the analysis of constant modulus and Shalvi-Weinstein receivers is proposed by considering a special constrained optimization involving norms of the combined channel-receiver response. This approach provides a unified framework within which various blind and (nonblind) Wiener receivers can all be analyzed by circumscribing an ellipsoid by norm balls of different types, A necessary and sufficient condition for the equivalence among constant modulus. Shalvi-Weinstein, zero forcing, and Wiener receivers are obtained. Answers to open questions with regard to CM and SW receivers, including their locations and their relationship with Wiener receivers, are provided for the special orthogonal channel and the general two-dimensional (2-D) channel-receiver impulse response. It is also shown that in two dimensions, each CM or SW receiver is associated with one and only one Wiener receiver
  • Keywords
    convergence of numerical methods; noise; optimisation; receivers; Shalvi-Weinstein algorithm; Wiener receivers; combined channel-receiver response; constant modulus receivers; constrained optimization; ellipsoid; general 2-D channel-receiver impulse response; geometrical characterizations; noise; norm balls; orthogonal channel; unified framework; zero forcing receivers; Adaptive equalizers; Adaptive filters; Array signal processing; Constraint optimization; Convergence; Cost function; Ellipsoids; Signal processing algorithms; Sufficient conditions; Two dimensional displays;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.790656
  • Filename
    790656