• DocumentCode
    2086570
  • Title

    A new MIMO detector architecture based on a Forward-Backward trellis algorithm

  • Author

    Sun, Yang ; Cavallaro, Joseph R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX
  • fYear
    2008
  • fDate
    26-29 Oct. 2008
  • Firstpage
    1892
  • Lastpage
    1896
  • Abstract
    In this paper, a recursive forward-backward (F-B) trellis algorithm is proposed for soft-output MIMO detection. Instead of using the traditional tree topology, we represent the search space of the MIMO signals with a fully connected trellis and a forward-backward recursion is applied to compute the a posteriori probability (APP) for each coded data bit. The proposed detector has the following advantages: (a) it keeps a fixed throughput and has a regular datapath structure which makes it amenable to VLSI implementation, and (b) it attempts to maximize the a posteriori probability by tracing both forward and backward on the trellis and it always ensures that at least one candidate exists for every possible transmitted bit xk isin {-1, +1}. Compared with the soft K-best detector, the proposed detector significantly reduces the complexity because sorting is not required, while still maintaining good performance. A maximum throughput of 533 Mbps is achievable at a cost of 576 K gates for 4 times 4 16-QAM system.
  • Keywords
    MIMO communication; maximum likelihood estimation; quadrature amplitude modulation; radio receivers; recursive estimation; signal detection; telecommunication computing; trellis coded modulation; QAM; VLSI implementation; a posteriori probability; forward-backward trellis algorithm; recursion; soft K-best detector; soft-output MIMO detection; Computer architecture; Decoding; Detectors; MIMO; Matrix decomposition; Receiving antennas; Sun; Throughput; Topology; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2008 42nd Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2940-0
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2008.5074757
  • Filename
    5074757