• DocumentCode
    1386971
  • Title

    Relationships between the constant modulus and Wiener receivers

  • Author

    Zeng, Hanks H. ; Tong, Lang ; Johnson, C. Richard, Jr.

  • Author_Institution
    Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA
  • Volume
    44
  • Issue
    4
  • fYear
    1998
  • fDate
    7/1/1998 12:00:00 AM
  • Firstpage
    1523
  • Lastpage
    1538
  • Abstract
    The Godard (1980) or the constant modulus algorithm (CMA) is an effective technique for blind receiver design in communications. However, due to the complexity of the constant modulus (CM) cost function, the performance of the CM receivers has primarily been evaluated using simulations. Theoretical analysis is typically based on either the noiseless case or approximations of the cost function. The following question, while resolvable numerically for a specific example, remains unanswered in a generic manner. In the presence of channel noise, where are the CM local minima and what are their mean-squared errors (MSE)? In this paper, a geometrical approach is presented that relates the CM to Wiener (or minimum MSE) receivers. Given the MSE and the intersymbol/user interference of a Wiener receiver, a sufficient condition is given for the existence of a CM local minimum in the neighborhood of the Wiener receiver. The MSE bounds on CM receiver performance are derived and shown to be tight in simulations. The analysis shows that, while in some cases the CM receiver performs almost as well as the (nonblind) Wiener receiver, it is also possible that, due to its blind nature, the CM receiver may perform considerably worse than a (nonblind) Wiener receiver
  • Keywords
    intersymbol interference; least squares approximations; noise; receivers; telecommunication channels; Godard algorithm; MSE receiver; Wiener receiver; blind receiver design; channel noise; communications receiver; constant modulus algorithm; constant modulus cost function; constant modulus receiver; geometrical approach; intersymbol/user interference; local minima; mean-squared errors; nonblind receiver; sufficient condition; Adaptive equalizers; Adaptive filters; Algorithm design and analysis; Closed-form solution; Cost function; Deconvolution; Intersymbol interference; Modeling; Performance analysis; Sufficient conditions;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.681326
  • Filename
    681326