• DocumentCode
    2506951
  • Title

    Scaled Matched Filter Based Iterative Receiver for Coded MIMO-OFDM Systems

  • Author

    Lin, Wenfeng ; He, Chen

  • Author_Institution
    Shanghai Jiao Tong Univ., Shanghai
  • fYear
    2007
  • fDate
    26-30 Nov. 2007
  • Firstpage
    3953
  • Lastpage
    3957
  • Abstract
    In this paper, we propose a reduced complexity iterative receiver for coded multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. We apply the matched filter (MF) in the proposed scheme, which is a popular alternative to the minimum mean square error (MMSE) detector due to its lower computational complexity. We improve the well studied MF-based iterative MIMO soft-detector by scaling the value of the a priori information from a soft-in soft-out (SISO) channel decoder. The scaling factor is optimized according to the extrinsic information transfer (EXIT) chart of the SISO detector. Simulation results show that the proposed MF- based iterative receiver significantly outperforms the conventional one with little additional cost in computational complexity and achieves bit error rate (BER) performance comparable to that of the MMSE-based iterative receiver with much lower complexity.
  • Keywords
    MIMO communication; channel coding; computational complexity; error statistics; iterative decoding; least mean squares methods; matched filters; modulation coding; radio receivers; BER; EXIT; MMSE; SISO; bit error rate; coded MIMO-OFDM systems; coded multiple-input multiple-output systems; computational complexity; extrinsic information transfer; iterative receiver; minimum mean square error detector; orthogonal frequency division multiplexing; scaled matched filter; scaling factor; soft-in soft-out channel decoder; Bit error rate; Computational complexity; Computational efficiency; Computational modeling; Detectors; Iterative decoding; MIMO; Matched filters; Mean square error methods; OFDM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-1042-2
  • Electronic_ISBN
    978-1-4244-1043-9
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2007.751
  • Filename
    4411661