• DocumentCode
    832526
  • Title

    On the equivalence of RLS implementations of LCMV and GSC processors

  • Author

    Werner, Stefan ; Apolinário, José A. ; De Campos, Marcello L R

  • Author_Institution
    Signal Process. Lab., Helsinki Univ. of Technol., Espoo, Finland
  • Volume
    10
  • Issue
    12
  • fYear
    2003
  • Firstpage
    356
  • Lastpage
    359
  • Abstract
    This letter compares the transients of the constrained recursive least squares (CRLS) algorithm with the generalized sidelobe canceler (GSC) employing the recursive least squares (RLS) algorithm. We prove that the two adaptive implementations are equivalent everywhere regardless of the blocking matrix chosen. This guarantees that algorithm tuning is not affected by the blocking matrix. This result differs from the more restrictive case for transient equivalence of the constrained least mean-square (CLMS) algorithm and the GSC employing the least mean square (LMS) algorithm, for in this case the blocking matrix needs to be unitary.
  • Keywords
    adaptive filters; array signal processing; filtering theory; least squares approximations; recursive filters; transients; GSC processor; LCMV processor; RLS algorithm; beamforming; blocking matrix; constrained least mean-square algorithm; constrained recursive least squares algorithm; generalized sidelobe canceler; linearly constrained adaptive filtering; linearly constrained minimum variance; recursive least squares algorithm; transient equivalence; Adaptive filters; Array signal processing; Least squares approximation; Least squares methods; Nonlinear filters; Resonance light scattering; Signal processing; Signal processing algorithms; Vectors;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2003.818861
  • Filename
    1247830