• DocumentCode
    3032491
  • Title

    On Frame Synchronization for Multiple Access Channels

  • Author

    Shen, Dawei ; Zhang, Wenyi ; Reed, David P. ; Lippman, Andrew B.

  • Author_Institution
    Media Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The problem of frame synchronization is formulated and investigated for multiple access channels (MAC). Several decision rules for locating the starting positions in continuously transmitted frames are proposed and compared, for both user- synchronous and user-asynchronous cases. It is shown that the common decision rule based on the correlation statistic is suboptimal, and that correction terms need be added in order to achieve an improved detection performance. For the user-asynchronous case, the optimal joint decision rule is derived in analytical form for two-user MAC and is highly complex, and is shown to suffer from a high computational complexity. To reduce the complexity, suboptimal separate decision algorithms with and without Gaussian approximation are derived, and it is illustrated using Monte Carlo simulation that those low-complexity algorithms only incur a slight degradation in optimality.
  • Keywords
    Gaussian channels; Monte Carlo methods; computational complexity; correlation methods; statistical analysis; synchronisation; Gaussian approximation; Monte Carlo simulation; computational complexity; correlation statistics; frame synchronization; multiple access channels; optimal joint decision rule; signal strength; two-user MAC; user-asynchronous case; Approximation algorithms; Computational complexity; Data communication; Degradation; Gaussian approximation; Multiuser detection; Radiofrequency identification; Source separation; Statistics; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Workshops, 2009. ICC Workshops 2009. IEEE International Conference on
  • Conference_Location
    Dresden
  • Print_ISBN
    978-1-4244-3437-4
  • Type

    conf

  • DOI
    10.1109/ICCW.2009.5208107
  • Filename
    5208107