• DocumentCode
    3500398
  • Title

    A closed-form solution to the autocorrelation matching method for wireless MIMO communications

  • Author

    Luo, Hui ; Luo, Lei ; Liu, Ruey-wen

  • Author_Institution
    AT&T Labs.-Res., Middletown, NJ, USA
  • fYear
    2002
  • fDate
    9-11 Dec. 2002
  • Firstpage
    392
  • Lastpage
    395
  • Abstract
    Wireless MIMO (multiple input multiple output) communication techniques are proposed to boost spectrum efficiency using antenna arrays so that broadband data such as multimedia signals can be transmitted over a limited bandwidth. The AM (autocorrelation matching) method is a SOS (second-order statistics) based blind MIMO-FIR equalization technique that may enable wireless MIMO communications without identifying MIMO-FIR channels. This paper presents a closed-form solution to computing the optimal zero-forcing equalizer for the AM method using the knowledge of second-order statistics of the transmitted signals and received signals. Numerical simulations are given to show the effectiveness of the AM method and the performance of the closed-form solution.
  • Keywords
    MIMO systems; antenna arrays; broadband networks; correlation methods; equalisers; multimedia communication; multipath channels; radio networks; source separation; AM; MIMO-FIR channel; MIMO-FIR equalization technique; SOS; antenna array; autocorrelation matching method; broadband data; closed-form solution; multimedia signal; multiple input multiple output; optimal zero-forcing equalizer; received signal; second order statistics; spectrum efficiency; transmitted signal; wireless MIMO communication; Antenna arrays; Autocorrelation; Bandwidth; Blind equalizers; Broadband antennas; Closed-form solution; MIMO; Statistics; Transmitting antennas; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing, 2002 IEEE Workshop on
  • Print_ISBN
    0-7803-7713-3
  • Type

    conf

  • DOI
    10.1109/MMSP.2002.1203328
  • Filename
    1203328