• DocumentCode
    1743175
  • Title

    Optimal wideband transmit antenna diversity utilizing channel state information

  • Author

    Onggosanusi, Eko N. ; Van Veen, Barry D. ; Sayeed, Akbar M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    Oct. 29 2000-Nov. 1 2000
  • Firstpage
    106
  • Abstract
    Optimal multi-antenna wideband signaling schemes are derived for multipath channels assuming perfect channel state information at the transmitter. The scheme that minimizes the bit-error-probability in the single-user case is a rank-one space-time beamformer which focuses the signal transmission in the direction of the most dominant channel mode. Several sub-optimal variations are discussed for multiuser applications. Simulation results are given to compare the schemes proposed.
  • Keywords
    adaptive antenna arrays; array signal processing; code division multiple access; diversity reception; error statistics; land mobile radio; multipath channels; multiuser channels; optimisation; space-time adaptive processing; transmitting antennas; IDFT-DFT bank; WCDMA; adaptive array; bit error probability; channel state information; eigenvector; mobile radio; multipath channels; multiuser applications; optimal multi-antenna wideband signaling; optimal wideband transmit antenna diversity; perfect channel state information; rank-one space-time beamformer; signal transmission; simulation results; transmitter; Bit error rate; Broadband antennas; Channel state information; Covariance matrix; Fading; Frequency; Multipath channels; Signal design; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-6514-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.2000.910926
  • Filename
    910926