• DocumentCode
    2889122
  • Title

    Estimating Statistical Eigen-Beamforming Gains Using Spatial Channel Correlation

  • Author

    Thomas, Timothy A. ; Hillery, William J. ; Kepler, James ; Desai, Vip

  • Author_Institution
    Motorola, Appl. Res. & Technol. Center, Schaumburg, IL, USA
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Statistical eigen-beamforming (EBF) is a widely used multiple antenna transmission technique in which one antenna weight is used over potentially a large bandwidth (e.g., all subcarriers in OFDM). With N transmit antennas, the maximum gain for EBF at a receiver is 20 log N decibels over a single antenna transmission (assuming a power unfair comparison where each transmit antenna has a fixed power so the addition of new antennas brings a beamforming gain as well as a total transmit power increase). Based on statistical analysis of field data and observations, this gain is nearly achievable with line-of- sight transmissions. While useful for characterizing the benefits of EBF, the statistical analysis does not indicate the realizable gain for a particular location. This paper presents a relationship between the EBF gain, spatial correlation of the channel, and the number of transmit antennas. The conjectured gain is compared to the expected gain based on an analysis of field data. The results of this comparison show that the spatial correlation as defined in this paper can be used to predict the EBF gain accurately for a variety of antenna spacings and polarizations.
  • Keywords
    array signal processing; eigenvalues and eigenfunctions; statistical analysis; multiple antenna transmission technique; spatial channel correlation; statistical analysis; statistical eigen-beamforming gains; Antenna theory; Array signal processing; Broadband antennas; Communications Society; Covariance matrix; Directive antennas; OFDM; Receiving antennas; Statistical analysis; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. ICC '09. IEEE International Conference on
  • Conference_Location
    Dresden
  • ISSN
    1938-1883
  • Print_ISBN
    978-1-4244-3435-0
  • Electronic_ISBN
    1938-1883
  • Type

    conf

  • DOI
    10.1109/ICC.2009.5199005
  • Filename
    5199005