• DocumentCode
    417819
  • Title

    Capacity-maximizing resource allocation for data-aided timing and channel estimation in ultra-wideband radios

  • Author

    Wu, Lin ; Tian, Zhi

  • Author_Institution
    Dept of Electr. & Comput. Eng.,, Michigan Technol. Univ., Houghton, MI, USA
  • Volume
    4
  • fYear
    2004
  • fDate
    17-21 May 2004
  • Abstract
    The overall system performance of data-aided ultra-wideband (UWB) communications relies critically on the accuracy of synchronization and channel estimation during the training phase. The total transmission resources should be properly allocated between training and information symbols in order to strike a desired balance between performance and information rate. To this end, this paper derives optimum transmission schemes that judiciously allocate the limited transmit power and pulse numbers for signal reception tasks performing optimal timing acquisition, channel estimation, as well as symbol detection. The resulting selection of transmitter parameters not only enables both the timing and channel estimators to attain the minimum mean-square estimation errors, but also maximizes the average system capacity.
  • Keywords
    bandwidth allocation; broadband networks; channel capacity; channel estimation; data communication; digital radio; indoor radio; least mean squares methods; optimisation; power control; signal detection; synchronisation; capacity-maximizing resource allocation; channel estimation; data-aided timing; information symbols; minimum mean-square estimation errors; optimal timing acquisition; optimum transmission schemes; performance; pulse numbers; signal reception; symbol detection; synchronization; system performance; training symbols; transmit power allocation; transmitter parameters; ultra-wideband radios; Channel estimation; Communication industry; Estimation error; Information rates; Pulse amplifiers; Radio transmitters; Resource management; System performance; Timing; Ultra wideband technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8484-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2004.1326879
  • Filename
    1326879