• DocumentCode
    1682295
  • Title

    Joint MAP Detection for MIMO-OFDM Systems

  • Author

    Luo, Zhendong ; Yang, Fan ; Huang, Dawei

  • Author_Institution
    Inst. of Commun. Stand. Res., Beijing
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, a joint maximum a posteriori (MAP) detection algorithm is proposed for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO- OFDM) systems. Without the need of estimating the channel state information (CSI), it can directly compute the a posteriori probability (APP) of the transmitted data and generate the detection results under the MAP criterion by efficient iterative processing. Based on the idea of list sphere decoding, we also present a fast searching algorithm to further reduce its complexity in the cases of large numbers of transmit antennas and high data rates. Computer simulation shows that even without the help of channel estimation, the proposed algorithm with a few iterations can approximately attain the performance of the optimal detector using the perfect CSI.
  • Keywords
    MIMO communication; OFDM modulation; antenna arrays; channel estimation; iterative methods; maximum likelihood detection; transmitting antennas; MIMO-OFDM systems; a posteriori probability; channel estimation; channel state information; fast searching algorithm; iterative processing; joint MAP detection; joint maximum a posteriori detection algorithm; multiple-input multiple-output system; orthogonal frequency division multiplexing; transmit antennas; Channel estimation; Channel state information; Computer simulation; Detection algorithms; Iterative algorithms; Iterative decoding; MIMO; OFDM; State estimation; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
  • Conference_Location
    New Orleans, LO
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-2324-8
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2008.ECP.661
  • Filename
    4698436