• DocumentCode
    850478
  • Title

    Detection of Interleaved OFDMA Uplink Signals in the Presence of Residual Frequency Offset Using the SAGE Algorithm

  • Author

    Lee, Jong-Ho ; Kim, Seong-Cheol

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ.
  • Volume
    56
  • Issue
    3
  • fYear
    2007
  • fDate
    5/1/2007 12:00:00 AM
  • Firstpage
    1455
  • Lastpage
    1460
  • Abstract
    In this paper, we propose an iterative detection scheme in the presence of residual frequency offsets (RFOs) using the space-alternating generalized expectation-maximization algorithm for an orthogonal-frequency-division-multiple-access uplink system. In the proposed scheme, the expectation step intends to remove intercarrier interference (ICI) due to the RFOs of simultaneous users in the received signals. Then, the maximization step is utilized to estimate the required parameters for each user (i.e., RFO, data symbols, and channel state information) employing the ICI-cancelled signals. Simulation results show that the proposed scheme achieves almost ideal bit-error-rate performance as long as the magnitude of the normalized RFO value is within 0.2
  • Keywords
    error statistics; expectation-maximisation algorithm; frequency division multiple access; intercarrier interference; interference suppression; SAGE algorithm; bit error rate; intercarrier interference; interleaved OFDMA uplink signals; iterative detection scheme; orthogonal frequency division multiple access; residual frequency offset; space-alternating generalized expectation-maximization algorithm; Computer science; Frequency estimation; Frequency synchronization; Interchannel interference; Iterative algorithms; Multiple access interference; OFDM; Parameter estimation; State estimation; Timing; Orthogonal frequency-division multiple access (OFDMA); residual frequency offset (RFO); space-alternating generalized expectation–maximization (SAGE);
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2007.895574
  • Filename
    4201052