• DocumentCode
    865579
  • Title

    Power-azimuth-spectrum modeling for antenna array systems: a geometric-based approach

  • Author

    Zekavat, Seyed Alireza ; Nassar, Carl R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan Technol. Univ., Houghton, MI, USA
  • Volume
    51
  • Issue
    12
  • fYear
    2003
  • Firstpage
    3292
  • Lastpage
    3294
  • Abstract
    In this paper, we propose the geometric-based channel modeling technique as a means to establish innovative models for the power azimuth spectrum (PAS). When the geometry of the environment is matched to that of the TSUNAMI II project, the PAS model we achieve (referred to as the secant-square model) may be compared to the Laplacian model introduced previously in the literature. In this case, we observe that our model is a better fit to the TSUNAMI II project measurements. Specifically, our model has a simple mathematical representation and demonstrates a lower squared error when compared to measurement data, and considers effects ignored in the earlier modeling (e.g., the nonzero values at the edge of the PAS). Moreover, the proposed geometric-based channel modeling technique extends to other environments with different topologies, whereas the earlier Laplacian model is limited to the TSUNAMI II measurement environment.
  • Keywords
    antenna arrays; antenna radiation patterns; mobile antennas; spectral-domain analysis; topology; PAS edge; PAS model; TSUNAMI II project; antenna array systems; channel modeling technique; geometric-based approach; mathematical representation; mobile antennas; nonzero values; power-azimuth-spectrum modeling; secant-square model; squared error; topologies; Antenna arrays; Antenna measurements; Azimuth; Base stations; Geometry; Laplace equations; Mobile antennas; Power system modeling; Solid modeling; Tsunami;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2003.820973
  • Filename
    1261807