• DocumentCode
    3387552
  • Title

    Intelligent MIMO signal detection for spatial multiplexing with D-S theory

  • Author

    Li, Yonghua ; Lv, Tiejun ; Qin, Ling ; Li, Yunjie

  • Author_Institution
    Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2011
  • fDate
    25-28 Sept. 2011
  • Firstpage
    426
  • Lastpage
    430
  • Abstract
    In this paper, a novel signal detection scheme is proposed for correlated multiple input multiple output(MIMO) system based on Dempster-Shafer (D-S) evidence theory. The geometrical MIMO model is used for the correlated MIMO system. The focal-element-set (FES) is used to describe the uncertainty for the decision statistics, and the corresponding basic-probability- assignment (BPA) of FES is the likelihood measure, which act as the soft-decisions for the receiver signals. The detection is called intelligent deductions, in which the uncertainty can be mitigated during combining the soft information sources from all received spatial signals, leading to the performance improvement for MIMO system. Simulation results verify that the proposed MIMO detection algorithm outperforms conventional MIMO detection schemes in both independent and correlated MIMO channel.
  • Keywords
    MIMO communication; antenna arrays; signal detection; space division multiplexing; telecommunication channels; D-S theory; FES; MIMO channel; MIMO detection algorithm; MIMO system; basic-probability-assignment; focal-element-set; geometrical MIMO model; intelligent MIMO signal detection; intelligent deductions; multiple antennas communication; multiple input multiple output; spatial multiplexing; MIMO; Receiving antennas; Signal detection; Transmitting antennas; Uncertainty; Dempster-Shafer theory; Fading channels; Intelligent Detection; Multiple antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology (ICCT), 2011 IEEE 13th International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-61284-306-3
  • Type

    conf

  • DOI
    10.1109/ICCT.2011.6157911
  • Filename
    6157911