• DocumentCode
    394033
  • Title

    Bayesian detector and adaptive receivers for TH-SSMA ultra-wide bandwidth impulse radio

  • Author

    Yao-Win Wong ; Scaglione, Anna

  • Author_Institution
    Sch. of Electron. & Comput. Eng., Cornell Univ., New York, NY, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    3-6 Nov. 2002
  • Firstpage
    738
  • Abstract
    In this paper, we derive and analyze a Bayesian detector for a multiple access ultra-wideband (UWB) system, which only requires the knowledge of the signature code of the user of interest. The receiver structure is equivalent to a single user matched filter (MF) receiver followed by an adaptive threshold. Since the multiple access interference (MAI) is not Gaussian, this detector outperforms the conventional MF detector at the expense of the additional complexity necessary for calculating the adaptive threshold. In the two-user case, as the AWGN tends to zero, the probability of error of the Bayesian detector goes to zero for any finite-length time-hopping codes. This is in contrast to the MF receiver, which requires infinitely long codes to achieve the same result. Finally, we propose a linear MMSE adaptive receiver to mitigate MAI with low complexity.
  • Keywords
    AWGN; Bayes methods; broadband networks; error statistics; least mean squares methods; matched filters; multi-access systems; radio receivers; signal detection; spread spectrum communication; AWGN; Bayesian detector; MAI; TH-SSMA; UWB; adaptive receiver; adaptive threshold; finite-length time-hopping codes; impulse radio; matched filter detector; multiple access interference; signature code; single user matched filter receiver; time-hopping spread spectrum multiple access; two-user case; ultrawideband systems; AWGN; Bandwidth; Bayesian methods; Delay effects; Detectors; Multiple access interference; Pulse modulation; Receivers; Spread spectrum communication; Ultra wideband technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-7576-9
  • Type

    conf

  • DOI
    10.1109/ACSSC.2002.1197278
  • Filename
    1197278