• DocumentCode
    231954
  • Title

    Low-complexity soft-input soft-output detection based on EVD for MIMO systems

  • Author

    Yang, Yi ; Li, C.Q. ; Guo, Zh H.

  • Author_Institution
    Shandong Electr. Power Res. Inst., China
  • fYear
    2014
  • fDate
    19-23 Oct. 2014
  • Firstpage
    1546
  • Lastpage
    1550
  • Abstract
    In this paper, we propose a low-complexity soft-input soft-output (SISO) detection algorithm for MIMO-OFDM systems, based on Eigen-Value decomposition (EVD), which using the real diagonal matrix inversion instead of the complex matrix inversion to reduce the complexity of the iterative receiver. The main objective of this paper is focused on the reduction of overall implementation complexity of the SISO detector based on the Minimum Mean Square Error(MMSE) criterion through three components: the Soft Modulation, the MMSE Equalizer and the Soft-Symbol Demapper. Simulation and complexity analysis results show that the proposed low-complexity SISO-MMSE detector achieves basically the same performance comparing with the classical SISO-MMSE detector, while providing a tremendous complexity reduction.
  • Keywords
    MIMO communication; OFDM modulation; computational complexity; eigenvalues and eigenfunctions; equalisers; iterative methods; least mean squares methods; EVD; MIMO-OFDM systems; MMSE equalizer; eigenvalue decomposition; iterative receiver complexity; low-complexity SISO-MMSE detector; low-complexity soft-input soft-output detection algorithm; minimum mean square error criterion; real diagonal matrix inversion; soft modulation; soft-symbol demapper; Complexity theory; Detectors; Equalizers; MIMO; Matrix decomposition; Modulation; OFDM; EVD; MIMO; MMSE; OFDM; SISO detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2014 12th International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4799-2188-1
  • Type

    conf

  • DOI
    10.1109/ICOSP.2014.7015257
  • Filename
    7015257