• DocumentCode
    1361663
  • Title

    Land Mobile Satellite Dual Polarized MIMO Channel Along Roadside Trees: Modeling and Performance Evaluation

  • Author

    Cheffena, Michael ; Fontán, Fernando Pérez ; Lacoste, Frédéric ; Corbel, Erwan ; Mametsa, Henri-Jose ; Carrie, Guillaume

  • Author_Institution
    Gjovik Univ. Coll., Gjovik, Norway
  • Volume
    60
  • Issue
    2
  • fYear
    2012
  • Firstpage
    597
  • Lastpage
    605
  • Abstract
    We present a novel physical-statistical, generative model for the land mobile satellite (LMS), dual polarized, multiple-input-multiple-output (MIMO) channel along tree-sided roads. Said model is parameterized by means of a physical model based on the multiple scattering theory (MST) which accounts for the signal attenuation and scattering by trees. Moreover, finite-difference time-domain (FDTD) electromagnetic computations were performed to characterize the scattering pattern of an isolated tree, and to calculate the MIMO shadowing correlation matrix required by the model, and not provided by MST. This modeling framework also encompasses the single-input-multiple-output (SIMO)/space diversity case. To illustrate the capabilities of the developed model, time series were generated and used in system performance calculations. The obtained results give an insight into the advantages of dual polarized MIMO and SIMO/space diversity techniques in these very frequent scenarios and may help service providers in evaluating the technical feasibility of such systems.
  • Keywords
    MIMO communication; diversity reception; sampled data systems; sandwich structures; satellite communication; MIMO channel; correlation matrix; electromagnetic computations; finite difference time domain; generative model; land mobile satellite dual polarized; multiple scattering theory; performance evaluation; physical statistical; roadside trees; signal attenuation; single input multiple output; space diversity case; tree sided roads; Correlation; Fading; Finite difference methods; Least squares approximation; MIMO; Time domain analysis; Vegetation; Diversity; LMS MIMO; signal fading; vegetation;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2011.2173447
  • Filename
    6060877