• DocumentCode
    2382817
  • Title

    Parametric Characterization and Estimation of Bi-Azimuth Dispersion Path Components

  • Author

    Yin, Xuefeng ; Pedersen, Troels ; Czink, Nicolai ; Fleury, Bernard H.

  • Author_Institution
    Div. of Inf. & Signals, Aalborg Univ.
  • fYear
    2006
  • fDate
    2-5 July 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this contribution, we derive a probability distribution suitable for characterizing bi-azimuth (azimuth of arrival and azimuth of departure) direction dispersion of individual path components in the response of the propagation channel. This distribution belongs to the family of generalized von-Mises-Fisher distributions. The elements in this family maximize the entropy under the constraint that the expectations and correlation matrix of the directions are known. The probability density function (pdf) of the proposed distribution is used to describe the bi-azimuth power spectrum of individual path components. An estimator of the parameters of the pdf is derived and applied to characterize the spreads in both azimuth of departure and azimuth of arrival, as well as the correlation between both azimuths of individual path components. Preliminary results from an experimental investigation demonstrate the applicability of the proposed characterization in real environments
  • Keywords
    correlation methods; matrix algebra; radiowave propagation; statistical distributions; wireless channels; azimuth of arrival direction dispersion; azimuth of departure direction dispersion; bi-azimuth dispersion estimation; bi-azimuth power spectrum; correlation matrix; generalized von-Mises-Fisher distributions; parametric characterization; path components; probability density function; probability distribution; propagation channel; Azimuth; Communications technology; Delay estimation; Dispersion; Electromagnetic scattering; Gaussian distribution; Maximum likelihood estimation; Parameter estimation; Probability density function; Propagation delay; Path components; bi-azimuth dispersion; maximum-likelihood estimation; von-Mises-Fisher distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications, 2006. SPAWC '06. IEEE 7th Workshop on
  • Conference_Location
    Cannes
  • Print_ISBN
    0-7803-9710-X
  • Electronic_ISBN
    0-7803-9711-8
  • Type

    conf

  • DOI
    10.1109/SPAWC.2006.346445
  • Filename
    4153985