• DocumentCode
    1629313
  • Title

    High Performance Space Frequency Interleaved MIMO-OFDM Eigenmode Transmission Systems

  • Author

    Zhou, Liang ; Nakamura, Michiharu

  • Author_Institution
    Wireless Syst. Labs., Fujitsu Labs. Ltd., Yokosuka
  • fYear
    2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Spatial multiplexing with linear preceding is a simple technique to increase system capacity and to exploit the high spectral efficiency provided by multiple-input multiple- output (MIMO) systems, and it can be easily implemented over frequency-selective MIMO channels by using orthogonal frequency division multiplexing (OFDM). The optimal transmitter preceding matrix is obtained by singular value decomposition (SVD) of the channel matrix. The eigenmodes of the channel matrix exhibited frequency selectivity, and the signal to noise ratio associated with each of the eigenmodes is directly proportional to its eigenvalue. Space frequency interleaver aims to achieve space and frequency diversity. Based on these observations, this paper proposes a weighted soft decision Viterbi decoding by using the eigenvalues of the channel matrix, to implement high performance space frequency interleaved MIMO-OFDM eigenmode transmission systems. Our simulation results confirm that this technique with low complexity improves error rate performance considerably.
  • Keywords
    MIMO communication; OFDM modulation; Viterbi decoding; eigenvalues and eigenfunctions; error statistics; matrix algebra; singular value decomposition; Eigenmode Transmission Systems; MIMO-OFDM systems; SVD; Viterbi decoding; channel matrix; eigenvalues; error rate performance; frequency diversity; frequency-selective MIMO channels; linear precoding; multiple-input multiple-output systems; orthogonal frequency division multiplexing; singular value decomposition; space diversity; space frequency interleaved systems; spatial multiplexing; Eigenvalues and eigenfunctions; Frequency diversity; Frequency division multiplexing; MIMO; Matrix decomposition; OFDM; Signal to noise ratio; Singular value decomposition; Transmitters; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0062-7
  • Electronic_ISBN
    1-4244-0063-5
  • Type

    conf

  • DOI
    10.1109/VTCF.2006.121
  • Filename
    4109386