• DocumentCode
    1998649
  • Title

    Software IQ sample estimation for multi-antenna systems

  • Author

    Coersmeier, E. ; Zielinski, Ernst ; Wachsmann, K.-P.

  • fYear
    2003
  • fDate
    10-13 Aug. 2003
  • Firstpage
    175
  • Lastpage
    178
  • Abstract
    Multi-antenna systems provide the option to enhance the data rates and to improve the overall system performance as long as high transmitter signal accuracy for all signal branches can be guaranteed. At the same time the analog front-end should provide low power consumption and a low cost solution. Hence a direct-conversion transmitter analog front-end architecture for an OFDM multi-antenna system will be proposed including the drawback of possible imperfect analog IQ signals. The expected analog imperfections will be compensated via software-based algorithms. The compensation techniques require IQ sample estimates from the transmitter envelope signal at the antenna input port. This paper provides a mathematical description of the software-based IQ estimation and provides simulation results in conjunction with a filter pre-equalization and quadrature compensation.
  • Keywords
    OFDM modulation; antenna arrays; array signal processing; power consumption; signal sampling; software engineering; telecommunication computing; transmitters; OFDM multiantenna system; analog front-end; compensation techniques; data rates enhancements; direct-conversion transmitter; filter preequalization; high transmitter signal accuracy; low power consumption; multiantenna systems; quadrature compensation; software IQ sample estimation; software-based algorithms; system performance improvement; Baseband; Costs; Energy consumption; Error correction; Filters; OFDM; Software performance; Software systems; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radio and Wireless Conference, 2003. RAWCON '03. Proceedings
  • Print_ISBN
    0-7803-7829-6
  • Type

    conf

  • DOI
    10.1109/RAWCON.2003.1227921
  • Filename
    1227921