• DocumentCode
    1800903
  • Title

    Performance Analysis of Analog LMS Multiuser Receiver in Transmitted-Reference UWB System

  • Author

    Zheng, Lin ; Ge, Wei ; Qiu, Hongbing

  • Author_Institution
    Guilin Univ. of Electron. Technol. (GUET), Guilin, China
  • Volume
    2
  • fYear
    2009
  • fDate
    18-20 Aug. 2009
  • Firstpage
    479
  • Lastpage
    482
  • Abstract
    Due to the severe and complicated multipath fading of the ultra-wideband (UWB) impulses, it is difficult to theoretically analyze the detection performance of the adaptive multiuser detector. By modulating the reference with a simple pseudo-random code, we have proposed an analog LMS multiuser detection in transmitted-reference UWB system. Here, the steady-state performances of this algorithm are analyzed. In the analysis, the approximations based on the characters of the UWB channel and impulse are introduced. Thus, a closed-form expression for SINR output is derived, and validated by simulation in LOS and NLOS channel respectively. From the theoretic result, the multipath delay spread in line-of-sight (LOS) and non-line-ofsight (NLOS) environments are considered to determine the width of the integration window of the detector.
  • Keywords
    adaptive signal detection; fading channels; least mean squares methods; multipath channels; multiuser detection; radio receivers; random codes; adaptive multiuser detector; analog LMS multiuser receiver; multipath fading; pseudo random code; transmitted reference UWB system; ultrawideband impulse; Algorithm design and analysis; Closed-form solution; Detectors; Fading; Least squares approximation; Modulation coding; Multiuser detection; Performance analysis; Steady-state; Ultra wideband technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
  • Conference_Location
    Xian
  • Print_ISBN
    978-0-7695-3744-3
  • Type

    conf

  • DOI
    10.1109/IAS.2009.195
  • Filename
    5283172