• DocumentCode
    3353832
  • Title

    Transmit antenna diversity for wireless communications

  • Author

    Mecklai, Hussein K. ; Blum, Rick S.

  • Author_Institution
    Packard Lab., Lehigh Univ., Bethlehem, PA, USA
  • Volume
    3
  • fYear
    1995
  • fDate
    18-22 Jun 1995
  • Firstpage
    1500
  • Abstract
    Increased demand for wireless communications in the workplace and for cellular communications has revitalized the concept of spaced antenna diversity. Both transmit and receive diversity are being explored to increase the capacity and improve the performance of wireless communication systems. Transmit diversity is the focus of the present paper. Multiple antennas transmit amplitude and phase weighted signals to a single antenna for each user. Fading coefficients were assumed to vary at a slow enough rate so that reliable estimates can be obtained at the transmitter. Transmitter weights are derived to maximize the signal to interference noise ratio (SINR) at the output of the matched filter based receiver for each user
  • Keywords
    antenna arrays; antenna theory; cellular radio; diversity reception; fading; interference suppression; land mobile radio; multi-access systems; radiofrequency interference; transmitting antennas; amplitude weighted signals; cellular communications; fading coefficients; matched filter based receiver; multiple antennas; phase weighted signals; signal to interference noise ratio; spaced antenna diversity; transmit antenna diversity; wireless communication; workplace; Antenna arrays; Base stations; Fading; Interference suppression; Laboratories; Multiaccess communication; Signal to noise ratio; Transmitters; Transmitting antennas; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 1995. ICC '95 Seattle, 'Gateway to Globalization', 1995 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-2486-2
  • Type

    conf

  • DOI
    10.1109/ICC.1995.524452
  • Filename
    524452