• DocumentCode
    1418714
  • Title

    Fourth-Order Spatial Correlation-Coefficient Across the Uplink Receiver´s Spatial Aperture — Analytically Derived in Closed Form

  • Author

    Wang, Cheng-Siang ; Guo, Meihui ; Wong, Kainam T. ; Piterbarg, Vladimir I.

  • Author_Institution
    Dept. of Appl. Math., Nat. Sun Yat-sen Univ., Kaohsiung, Taiwan
  • Volume
    60
  • Issue
    3
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    724
  • Lastpage
    734
  • Abstract
    This paper is first in the open literature (to the authors´ best knowledge) on wireless channel fading to derive the uplink received signal´s fourth-order spatial-correlation coefficient function across a receiving sensor-array´s aperture. This derivation is mathematically rigorous and is based on idealized geometric relationships among the mobile transmitter, the base-station´s receiving antennas, and the scatterers of the channel. The scatterers´ spatial locations are modeled as Poisson distributed, with a Gaussian intensity over a two-dimensional space. This scatterer model has previously been empirically verified to produce faithful expressions for the second-order spatial correlation coefficient. The final formula is in closed form, explicit in terms of the simple geometric model´s few independent parameters.
  • Keywords
    Gaussian distribution; Poisson distribution; array signal processing; correlation methods; fading channels; radio receivers; receiving antennas; Gaussian intensity; Poisson distribution; base-station receiving antennas; fourth-order spatial correlation-coefficient function; mobile transmitter; receiving sensor-array aperture; scatterer spatial locations; second-order spatial correlation coefficient; two-dimensional space; uplink receiver spatial aperture; wireless channel fading; Apertures; Arrays; Correlation; Fading; Mobile communication; Receivers; Transmitters; Communication channels; dispersive channels; fading channels; geometric modeling; multipath channels; scatter channels; spatial correlation; stochastic geometry;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2012.010512.110401
  • Filename
    6127842