• DocumentCode
    780355
  • Title

    Stochastic Stability Analysis for the Constant-Modulus Algorithm

  • Author

    Nascimento, Vítor H. ; Silva, Magno T M

  • Author_Institution
    Dept. of Electron. Syst. Eng., Univ. of Sao Paulo, Sao Paulo
  • Volume
    56
  • Issue
    10
  • fYear
    2008
  • Firstpage
    4984
  • Lastpage
    4989
  • Abstract
    We derive an easy-to-compute approximate bound for the range of step-sizes for which the constant-modulus algorithm (CMA) will remain stable if initialized close to a minimum of the CM cost function. Our model highlights the influence of the signal constellation used in the transmission system: for smaller variation in the modulus of the transmitted symbols, the algorithm will be more robust, and the steady-state misadjustment will be smaller. The theoretical results are validated through several simulations, for long and short filters and channels.
  • Keywords
    adaptive filters; filtering theory; gradient methods; stochastic processes; constant-modulus algorithm; gradient-based adaptive filter; signal constellation; stochastic stability analysis; transmission system; Adaptive equalizers; Adaptive filters; adaptive equalizers; adaptive filters; least mean square methods; least-mean-square methods; recursive estimation; tracking; unsupervised learning;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2008.928101
  • Filename
    4558048