• DocumentCode
    2459447
  • Title

    A theoretical analysis of belief propagation based detection in MIMO systems

  • Author

    Yang, Shunkun ; Long, Feichi

  • Author_Institution
    Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2011
  • fDate
    21-23 Oct. 2011
  • Firstpage
    68
  • Lastpage
    72
  • Abstract
    Belief propagation (BP) based multiple-input multiple-output (MIMO) detection algorithm can achieve near optimal performance, but the technical analysis remains unsolved. In this paper, we give theoretical analysis about the relationship between BP detection and joint maximum likelihood (JML) detection via an optimization framework of Bethe approximation to free energy and constrained JML detection. The proposed approach can explain why BP can achieve high performance in some extent and simulation result verifies the conclusion.
  • Keywords
    MIMO communication; belief networks; maximum likelihood detection; Bethe approximation; MIMO systems; belief propagation based detection; joint maximum likelihood detection; optimization framework; Approximation methods; Belief propagation; Detection algorithms; Lagrangian functions; MIMO; Maximum likelihood decoding; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Problem-Solving (ICCP), 2011 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4577-0602-8
  • Electronic_ISBN
    978-1-4577-0601-1
  • Type

    conf

  • DOI
    10.1109/ICCPS.2011.6089778
  • Filename
    6089778
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2459447