• DocumentCode
    2729242
  • Title

    Extended jointly Gaussian approach for MIMO multipath channels

  • Author

    Jar, Marcel ; Schlegel, Christian

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
  • fYear
    2010
  • fDate
    6-10 Sept. 2010
  • Firstpage
    404
  • Lastpage
    408
  • Abstract
    In this paper, an extension of the jointly Gaussian approach (JGA) to detect signals transmitted over a multiple-input multiple-output (MIMO) multipath channel is presented. This method, dubbed extended JGA, enhances the performance of the JGA by performing a marginalization over some interfering terms before applying the jointly Gaussian assumption to remove the residual interference. Hence, it can improve the performance of a communication system at the expense of a controllable increase in the computational complexity. The signal-to-noise-plus-interference ratio (SINR) at the detector´s output is analyzed to indicate how much the extended JGA method can enhance the system´s performance. Bit error rate (BER) curves are used to corroborate the gain in performance pointed by the SINR analysis for realistic MIMO scenarios.
  • Keywords
    Gaussian processes; MIMO communication; communication complexity; error statistics; multipath channels; radiofrequency interference; signal detection; JGA method; MIMO multipath channel; SINR analysis; bit error rate; communication system; computational complexity; jointly Gaussian approach; multiple-input multiple-output multipath channel; residual interference; signal-to-noise-plus-interference ratio; system performance; transmitted signal detection; Complexity theory; Interference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Turbo Codes and Iterative Information Processing (ISTC), 2010 6th International Symposium on
  • Conference_Location
    Brest
  • Print_ISBN
    978-1-4244-6744-0
  • Electronic_ISBN
    978-1-4244-6745-7
  • Type

    conf

  • DOI
    10.1109/ISTC.2010.5613808
  • Filename
    5613808