• DocumentCode
    1488477
  • Title

    Generalized Geometric Mean Decomposition and DFE Transceiver Design—Part II: Performance Analysis

  • Author

    Liu, Chih-Hao ; Vaidyanathan, Palghat P.

  • Author_Institution
    California Inst. of Technol. (Caltech), Pasadena, CA, USA
  • Volume
    60
  • Issue
    6
  • fYear
    2012
  • fDate
    6/1/2012 12:00:00 AM
  • Firstpage
    3124
  • Lastpage
    3133
  • Abstract
    In a companion paper, the generalized geometric mean decomposition (GGMD) was proposed and used to design GGMD decision feedback equalizer (DFE) transceivers for arbitrary multiple-input multiple-output (MIMO) channels without zero-forcing constraint. For the application to cyclic prefix (CP) systems, the GGMD DFE transceiver has the most advantage over the GMD DFE MMSE transceiver in terms of design and implementation complexity. This paper presents the performance analysis for the GGMD DFE transceiver implementation proposed in Part I. The arithmetic mean-square error (MSE), symbol error rate (SER) and Gaussian mutual information of the proposed system are investigated. The performance advantages of GGMD DFE transceiver over popular orthogonal-frequency-division multiplexing (OFDM) and single-carrier CP MMSE systems are shown analytically and verified by numerical simulations.
  • Keywords
    MIMO communication; OFDM modulation; decision feedback equalisers; least mean squares methods; GGMD decision feedback equalizer transceivers; GMD DFE MMSE transceiver; Gaussian mutual information; MIMO channels; OFDM; SER; arithmetic mean-square error; cyclic prefix systems; generalized geometric mean decomposition; multiple-input multiple-output channels; orthogonal-frequency-division multiplexing; single-carrier CP MMSE systems; symbol error rate; Covariance matrix; Decision feedback equalizers; Interference; OFDM; Signal to noise ratio; Transceivers; Cyclic prefix systems; generalized geometric mean decomposition; geometric mean decomposition; transceivers;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2012.2189856
  • Filename
    6179560