• DocumentCode
    1374697
  • Title

    An Analysis of GLRT Packet Detection for WiMedia UWB Applications

  • Author

    Erseghe, Tomaso ; Laurenti, Nicola

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Padua, Padua, Italy
  • Volume
    59
  • Issue
    3
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    1229
  • Lastpage
    1241
  • Abstract
    We address the problem of packet detection in the context of the WiMedia ECMA 368 standard. The proposed solution uses a generalized likelihood ratio test (GLRT), which accounts for the dispersive nature of ultrawideband (UWB) signals, and efficiently combines signals belonging to different frequency-hopping bands. A multiple-dwell strategy is investigated to enhance performance while keeping limited complexity. Particular care is devoted to the optimization of the multiple-dwell procedure (dwell durations and thresholds) and to a realistic assessment of the algorithm performance. Since available results from the literature are not fully applicable, a suitable framework is developed where performance is evaluated in terms of the probability of incorrect acquisition. Double dwells are identified as the best solution. The algorithm behavior is also tested under realistic channel conditions and typical receiver impairments.
  • Keywords
    ad hoc networks; frequency hop communication; signal detection; synchronisation; telecommunication standards; ultra wideband communication; GLRT packet detection analysis; WiMedia ECMA 368 standard; WiMedia UWB; ad-hoc networks; frequency-hopping bands; generalized likelihood ratio test; multiple-dwell procedure optimisation; multiple-dwell strategy; receiver impairments; signal acquisition; synchronization; ultrawideband signals; Ad-hoc networks; detection and estimation; synchronization; transceiver design; ultrawideband (UWB);
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2009.2039719
  • Filename
    5371964