• DocumentCode
    345694
  • Title

    SINR-based sufficient conditions for CMA desired-user-lock

  • Author

    Schniter, Philip ; Johnson, C. Richard, Jr.

  • Author_Institution
    Cornell Univ., Ithaca, NY, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    814
  • Abstract
    The constant modulus (CM) criterion has become popular in the design of blind linear estimators of sub-Gaussian i.i.d. processes transmitted through unknown linear channels in the presence of unknown additive interference. The existence of CM local minima, however, makes it difficult for CM-minimizing schemes to generate estimates of the desired source (as opposed to an interferer) in multiuser environments. In this paper, we present three sufficient conditions under which gradient descent (GD) minimisation of CM cost will locally converge to an estimator of the desired source at a particular delay. The sufficient conditions are expressed in terms of statistical properties of the initial estimates, specifically, CM cost, kurtosis, and signal to interference-plus-noise ratio (SINR)
  • Keywords
    blind equalisers; gradient methods; interference (signal); multi-access systems; multiuser channels; CM cost; CM criterion; CM-minimizing schemes; CMA desired-user-lock; GD minimisation; SINR-based sufficient conditions; blind linear estimators; constant modulus criterion; gradient descent minimisation; kurtosis; multiuser environments; signal to interference-plus-noise ratio; sub-Gaussian i.i.d. processes; sufficient conditions; unknown additive interference; unknown linear channels; Array signal processing; Blind equalizers; Costs; Delay estimation; Dispersion; Interference; Linear systems; Signal to noise ratio; Stochastic processes; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference, 1999. WCNC. 1999 IEEE
  • Conference_Location
    New Orleans, LA
  • ISSN
    1525-3511
  • Print_ISBN
    0-7803-5668-3
  • Type

    conf

  • DOI
    10.1109/WCNC.1999.796774
  • Filename
    796774