• DocumentCode
    2337915
  • Title

    WLC28-6: A Sphere Decoding Approach to Multiple Symbols Differential Detection for UWB Systems

  • Author

    Lottici, Vincenzo ; Tian, Zhi

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Pisa, Pisa
  • fYear
    2006
  • fDate
    Nov. 27 2006-Dec. 1 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Ultra-wideband (UWB) wireless channels are typically characterized by dense multipath scattering, which on the one hand provides very large multipath diversity, but on the other hand complicates UWB impulse radio receiver design as far as channel estimation and multipath energy capture are concerned. In this paper, we present a multi-symbols differential detector (MSDD) in which blocks of M received symbols are jointly processed based on the autocorrelation detection principle, bypassing training or costly channel estimation. As the block size M increases, the detection performance improves, but maximum- likelihood MSDD quickly becomes computationally impractical when M is over 10. To circumvent high complexity, we derive a new implementation of the MSDD decision rule based on the sphere decoding (SD) algorithm. The proposed SD approach to MSDD offers attractive detection performance based on a simple receiver structure and at affordable computational complexity polynomial in M.
  • Keywords
    diversity reception; maximum likelihood decoding; maximum likelihood detection; radio receivers; ultra wideband communication; MSDD; UWB impulse radio receiver design; UWB systems; autocorrelation detection; channel estimation; computational complexity polynomial; maximum- likelihood MSDD; multipath diversity; multipath energy capture; multipath scattering; multiple symbols differential detection; multisymbols differential detector; sphere decoding approach; ultra-wideband wireless channels; Autocorrelation; Channel estimation; Computational complexity; Decoding; Detectors; Energy capture; Maximum likelihood detection; Receivers; Scattering; Ultra wideband technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    1930-529X
  • Print_ISBN
    1-4244-0356-1
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2006.780
  • Filename
    4151410