• DocumentCode
    868166
  • Title

    Optimal binary training sequence design for multiple-antenna systems over dispersive fading channels

  • Author

    Yang, Shan-An ; Wu, Jingshown

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    51
  • Issue
    5
  • fYear
    2002
  • fDate
    9/1/2002 12:00:00 AM
  • Firstpage
    1271
  • Lastpage
    1276
  • Abstract
    Accurate and efficient channel estimation is important in multiple-antenna communication systems in order to effectively reduce the mutual interference among different transmitting antennas. For a nondispersive channel that is modeled by a single tap for each transmitting and receiving antenna pair, the well-known Hadamard sequences can be applied to estimate the channel coefficients. However, for a dispersive channel that has multipath problem and is modeled by multiple taps, the optimal sequences must have both good autocorrelations and cross correlations. The existence of binary sequences with such good property is an open problem. In this paper, we devise an algorithm to find these sequence sets. These codes can be applied in multiple-antenna systems.
  • Keywords
    Hadamard matrices; antenna arrays; antenna theory; binary sequences; channel estimation; dispersive channels; fading channels; interference suppression; multipath channels; radiofrequency interference; receiving antennas; transmitting antennas; Hadamard sequences; autocorrelations; binary sequences; channel coefficients; channel estimation; communication systems; cross correlations; dispersive channel; dispersive fading channels; multiple taps; multiple-antenna systems; mutual interference; nondispersive channel; optimal binary training sequence design; optimal sequences; receiving antenna pair; transmitting antennas; Autocorrelation; Binary sequences; Channel estimation; Data structures; Dispersion; Fading; Interference; Receiving antennas; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2002.800638
  • Filename
    1105966