• DocumentCode
    2147969
  • Title

    Adaptive AR modeling of multipath wireless communications channels

  • Author

    Swarts, Jacobus S. ; Ferreira, Hendrik C. ; Mercer, Chris

  • Author_Institution
    Rand Afrikaans Univ., Johannesburg, South Africa
  • Volume
    2
  • fYear
    1997
  • fDate
    20-22 Aug 1997
  • Firstpage
    645
  • Abstract
    In the simulation of a communications channel one should be seeking a model that is simultaneously compact and easy to implement, but also one that sends the channels characteristics to a large degree. The approach that we follow here is to model the channel´s impulse response by using two first order autoregressive (AR) processes. The two models are used to model the I and Q branches of a wideband channel sounder. The parameters of the model are determined using the LMS algorithm. The effectiveness of this approach is then determined by comparing the rms delay spreads of the measured data and that regenerated from a simulation
  • Keywords
    autoregressive processes; least mean squares methods; multipath channels; transient response; LMS algorithm; adaptive AR modeling; first order autoregressive processes; impulse response; least mean squares; multipath wireless communications channels; rms delay spreads; wideband channel sounder; Autoregressive processes; Delay; Equations; Filters; Predictive models; Stochastic processes; Technological innovation; Time varying systems; White noise; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers and Signal Processing, 1997. 10 Years PACRIM 1987-1997 - Networking the Pacific Rim. 1997 IEEE Pacific Rim Conference on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-3905-3
  • Type

    conf

  • DOI
    10.1109/PACRIM.1997.620345
  • Filename
    620345