• DocumentCode
    3861594
  • Title

    A signal-dependent autoregressive channel model

  • Author

    A. Kavcic;A. Patapoutian

  • Author_Institution
    Div. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA, USA
  • Volume
    35
  • Issue
    5
  • fYear
    1999
  • Firstpage
    2316
  • Lastpage
    2318
  • Abstract
    A fast and accurate channel model is presented that captures intersymbol interference, signal non-linearities and signal-dependent noise correlation. The noise is modeled as the output of a signal-dependent autoregressive filter. This channel model is well suited for detector designers who desire realistic simulators with short run-times.
  • Keywords
    "Gaussian noise","Filters","Parametric statistics","Statistical distributions","Intersymbol interference","Detectors","Computational modeling","Runtime","Stochastic resonance","Signal processing"
  • Journal_Title
    IEEE Transactions on Magnetics
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.800811
  • Filename
    800811
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3861594