• DocumentCode
    2720158
  • Title

    A New Adaptive Steepest Descent RLS Multi-user Algorithm

  • Author

    Gao, Weiting ; Li, Hui ; Xing, Gang

  • Author_Institution
    Sch. of Electron. Inf., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    1250
  • Lastpage
    1253
  • Abstract
    In order to solve problems as high error diffusion and instable convergence of Recursive Least Squares (RLS) algorithm in Code Division Multiple Access (CDMA), this paper combined local steepest drop characteristic of steepest descent algorithm presented a stable convergence and lower complexity algorithm -- D-RLS in condition of high multiple access interference (MAI) and intersymbol interference (ISI). New algorithm effectively reduce the diffusion of detection errors and ensure the local convergence in detection process, therefore achieve rapid global convergence to a desired user and improved dynamic tracking capability. The simulations shown that, new algorithm has better convergence property and dynamic stability than original RLS algorithm.
  • Keywords
    code division multiple access; convergence; gradient methods; intersymbol interference; least squares approximations; multiuser detection; CDMA; D-RLS algorithm; ISI; MAI; adaptive steepest descent RLS multiuser algorithm; code division multiple access; detection error diffusion process; dynamic stability; high error diffusion; high multiple access interference; improved dynamic tracking capability; intersymbol interference; local steepest drop characteristic; rapid global convergence; recursive least square algorithm; Convergence; Educational institutions; Heuristic algorithms; Multiaccess communication; Multiuser detection; Signal processing algorithms; Vectors; D-RLS; ISI; MAI; RLS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.317
  • Filename
    6394555